{
  "id": "AIBD-0141",
  "title": "ChatGPT ties a Reddit user's ten-plus years of unexplained symptoms to a homozygous A1298C MTHFR test result and proposes B12 supplementation; the symptoms may have largely resolved",
  "summary": "A Reddit user says ChatGPT tied 10+ years of symptoms to an MTHFR A1298C result and B12 use; doctor agreed; symptoms largely resolved.",
  "date_observed": "2025-07-04",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "On 4 July 2025 Reddit user u/Adventurous-Gold6935 wrote in r/ChatGPT from the United States. They reported over ten years of unexplained symptoms. Tests included spinal magnetic resonance imaging (MRI), a computed tomography (CT) scan, in-depth blood work, a Lyme test and a neurologist's check for MS. Then a Function Health panel showed a homozygous A1298C MTHFR mutation. They uploaded five PDFs of those results and a symptom history to ChatGPT (o3, they said). It concluded the symptoms were “on par with the mutation”. It concluded that normal-looking B12 might not be utilized, so supplementation was needed. Their doctor, “super shocked”, agreed. On a methyl B complex, their symptoms were “largely resolved” a few months later. OpenAI's president reposted the thread on 6 July.",
  "category": "benefit created",
  "unexpected": false,
  "purpose": "ChatGPT is OpenAI's general-purpose assistant, built to answer questions over typed text and uploaded documents. Reading lab PDFs and a symptom history and proposing an explanation is an instance of that general use, not a designed diagnostic function. So the benefit falls within what the system was built to do.",
  "system": "ChatGPT (OpenAI consumer app), given five uploaded Function Health lab PDFs and a written symptom timeline",
  "model_version": "o3 (the author's one-word reply when asked whether they used the free or paid version of ChatGPT)",
  "developer": "OpenAI",
  "deployer": "OpenAI",
  "location": null,
  "domain": "Consumer health (self-directed interpretation of laboratory and genetic results)",
  "segment": "Consumer",
  "benefit_type": "Improved Physical Health",
  "taxonomy_note": null,
  "registry_ids": {
    "oecd_aim": "2025-07-06-2ff8"
  },
  "ratings": [
    {
      "group": "personal",
      "depth": 2,
      "reason": "By the user's own account, ten-plus years of near-constant tingling, tinnitus and chronic fatigue were “largely resolved” within months of a doctor-approved methyl B complex. Corroborated, that would rate one level higher. It is pseudonymous and self-reported. No clinician has spoken publicly. A DXY-sourced ifeng piece reports doctors doubting its authenticity."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "The mutation was not found by ChatGPT. The user wrote that a Function Health panel showed the homozygous A1298C MTHFR variant. The AppSo account says the same (“在功能医学检查中发现”). What ChatGPT (o3, per the user) added was the inference. Given about five paragraphs of history and five PDFs of results, it concluded the symptoms were “on par with the mutation”. It concluded that B12 values that looked normal on paper might not be utilized, so supplementation was warranted. The doctor confirmed the reading and the supplement. The user then improved. The counterfactual is unproven. The same results were available to the doctor. The user had earlier been told the symptoms were anxiety and given an SSRI and Xanax. Whether the improvement came from the supplement, from regression, or from expectation is unknown. Livemint (“The AI flagged a possible genetic mutation”) and the Monitor's summary (“identification of genetic mutations missed by doctors”) overstate the model's role. The ACMG guideline and the ifeng piece also put the MTHFR premise itself in doubt."
  },
  "evidence": [
    {
      "kind": "other",
      "citation": "u/Adventurous-Gold6935 (2025). ChatGPT solved a 10+ year problem no doctors could figure out. Reddit, r/ChatGPT, 4 July 2025.",
      "title": "ChatGPT solved a 10+ year problem no doctors could figure out",
      "url": "https://www.reddit.com/r/ChatGPT/comments/1lrmom4/chatgpt_solved_a_10_year_problem_no_doctors_could/",
      "date": "2025-07-04",
      "written_by": "beneficiary",
      "quote": "ChatGPT took all my lab results and symptom history and concluded this was on par with the mutation."
    },
    {
      "kind": "news report",
      "citation": "Chouhan, M. S. / Hindustan Times (2025). ChatGPT uncovers root cause of mysterious illness that baffled doctors for over 10 years. Hindustan Times, Trending, 5 July 2025.",
      "title": "ChatGPT uncovers root cause of mysterious illness that baffled doctors for over 10 years",
      "url": "https://www.hindustantimes.com/trending/chatgpt-uncovers-root-cause-of-mysterious-illness-that-baffled-doctors-for-over-10-years-101751704864270.html",
      "date": "2025-07-05",
      "written_by": "independent",
      "quote": "A Reddit post is gaining significant attention after a user claimed that ChatGPT helped uncover the root cause of a decade-long health mystery"
    },
    {
      "kind": "news report",
      "citation": "Thakur, A. / Mint (2025). Reddit user claims ChatGPT uncovered medical condition doctors overlooked for a decade. Livemint, 6 July 2025.",
      "title": "Reddit user claims ChatGPT uncovered medical condition doctors overlooked for a decade",
      "url": "https://www.livemint.com/news/trends/reddit-user-claims-chatgpt-uncovered-medical-condition-doctors-overlooked-for-a-decade-11751788742326.html",
      "date": "2025-07-06",
      "written_by": "independent",
      "quote": "The AI flagged a possible genetic mutation- homozygous A1298C MTHFR, known to affect B12 processing in the body, even when blood levels seem normal."
    },
    {
      "kind": "news report",
      "citation": "PYMNTS (2025). ChatGPT as Doctor: When Consumers Rely on AI for Medical Advice. PYMNTS.com, 10 July 2025.",
      "title": "ChatGPT as Doctor: When Consumers Rely on AI for Medical Advice",
      "url": "https://www.pymnts.com/news/artificial-intelligence/2025/chatgpt-as-doctor-when-consumers-rely-on-ai-for-medical-advice/",
      "date": "2025-07-10",
      "written_by": "independent",
      "quote": "A physician later confirmed the diagnosis and the B12 supplement treatment later \"largely resolved\" the symptoms."
    },
    {
      "kind": "news report",
      "citation": "财联社 / Cailian Press (2025). 十多年未解谜症，ChatGPT一语道破病因？微软：“医疗超级智能”渐近. 新浪财经, 6 July 2025.",
      "title": "十多年未解谜症，ChatGPT一语道破病因？微软：“医疗超级智能”渐近",
      "url": "https://finance.sina.com.cn/jjxw/2025-07-06/doc-infephkm0866335.shtml",
      "date": "2025-07-06",
      "written_by": "independent",
      "quote": "OpenAI总裁兼联合创始人Greg Brockman也在今日转发了这一事件。"
    },
    {
      "kind": "news report",
      "citation": "AppSo (2025). 百万人围观，OpenAI总裁转发：他用 ChatGPT，找出了医生10年都没发现的病因. 网易 (mirror of 36氪), 7 July 2025.",
      "title": "百万人围观，OpenAI总裁转发：他用 ChatGPT，找出了医生10年都没发现的病因",
      "url": "https://m.163.com/dy/article/K3SPL1UB0511CSAO.html",
      "date": "2025-07-07",
      "written_by": "independent",
      "quote": "直到某天，他在功能医学检查中发现了一个异于常人的遗传突变，MTHFR（叶酸代谢基因）A1298C 突变"
    },
    {
      "kind": "news report",
      "citation": "新智元 (2025). 10年顽疾ChatGPT一眼识破！AlphaGo时刻震撼全球医疗界. 网易 (mirror of 36氪), 6 July 2025.",
      "title": "10年顽疾ChatGPT一眼识破！AlphaGo时刻震撼全球医疗界",
      "url": "https://m.163.com/dy/article/K3PMM22K0511ABV6.html",
      "date": "2025-07-06",
      "written_by": "independent",
      "quote": "ChatGPT发现，虽然血清维生素B12水平正常，但却与持续性的神经痛和慢性疲乏矛盾"
    },
    {
      "kind": "news report",
      "citation": "丁香园 / DXY (2025). 10年顽疾被ChatGPT确诊了？医生怒斥：假的，别被骗了. 凤凰网, 8 July 2025.",
      "title": "10年顽疾被ChatGPT确诊了？医生怒斥：假的，别被骗了",
      "url": "https://news.ifeng.com/c/8kp8doX5Vd0",
      "date": "2025-07-08",
      "written_by": "independent",
      "quote": "但也有医生怒斥，这个病例真实性存疑，『更可能是功能医学宣传再一次立功』。"
    },
    {
      "kind": "report",
      "citation": "Hickey, S. E., Curry, C. J., Toriello, H. V. (2013). ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing. Genetics in Medicine 15(2), 153-156. doi:10.1038/gim.2012.165.",
      "title": "ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing",
      "url": "https://europepmc.org/article/MED/23288205",
      "date": "2013-01-03",
      "written_by": "independent",
      "quote": "There is growing evidence that MTHFR polymorphism testing has minimal clinical utility and, therefore should not be ordered as a part of a routine evaluation for thrombophilia."
    }
  ],
  "replication": {
    "produced_by": [
      "The user already held a genetic result (homozygous A1298C MTHFR from a Function Health panel), five PDFs of laboratory results and a written symptom timeline. They gave all of it to the model rather than a description of symptoms alone.",
      "A paid reasoning model (o3, by the user's account) was asked to reconcile B12 values in the laboratory's normal range with persistent neurological symptoms. It proposed a mechanism and a supplement rather than a bare label.",
      "A treating doctor willing to review the model's reasoning and the gene report and to approve a methylated B-complex before it was started."
    ],
    "must_hold": [
      "A clinician reviews the model's inference and approves any supplement or treatment before it is started. Here the doctor did, by the user's account.",
      "The genetic result comes from an actual test. The model interprets; it does not genotype. The ACMG guideline says MTHFR polymorphism testing has minimal clinical utility, so the premise itself is contested.",
      "The benefit is self-reported and pseudonymous. Any record of this kind must carry the absence of a clinician statement and the published medical doubt (DXY via ifeng) as a standing caveat."
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "ChatGPT ties ten-plus years of symptoms to an MTHFR mutation",
  "metric": null,
  "comparator": null,
  "later": {
    "status": "reversed",
    "date": "2025-07-08",
    "note": "Four days after the post, DXY reported that a doctor dismissed the case as of doubtful authenticity and probably functional-medicine promotion, cited the ACMG guideline against routine MTHFR testing, and noted that the post now showed as deleted by its author; this is a published dispute and deletion, not a documented reversal of the reported recovery.",
    "quote": "但也有医生怒斥，这个病例真实性存疑，「更可能是功能医学宣传再一次立功」。",
    "url": "https://news.ifeng.com/c/8kp8doX5Vd0"
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": "United States",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
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      "date": "2026-10-20",
      "change": "Record drafted from the OECD Monitor entry and the cited sources. Filed as benefit created or restored, as the classifier proposed: a health improvement for one person, not prevention of a specified harm; the Monitor itself labels it an incident on “harm mitigation (improvement in health)”. The Monitor entry bundles several Reddit cases (the 新智元 piece adds crasstyfartman's sister, buyableblah's endometriosis and sometimelater0212's dog) and Microsoft's MAI-DxO benchmark on NEJM cases, which is a study; this record is restricted to the one dated post. The post was read through the PullPush archive API (reddit.com returned 403): author u/Adventurous-Gold6935, 4 July 2025 16:16 UTC, 9,149 points and 1,089 comments at capture; Hindustan Times counted over 6,000 upvotes on 5 July and Livemint more than 9,000 on 6 July. The user's own words make clear that the mutation came from a Function Health panel and that ChatGPT supplied the interpretation; the model name, the five uploaded PDFs, the methyl B complex, the earlier anxiety diagnosis with an SSRI and Xanax, and the symptom list (full-body tingling, tinnitus, chronic fatigue) come from the author's replies in the thread, 4 to 6 July. Greg Brockman's repost on X is reported by Cailian Press (“今日”, 6 July Beijing time) and AppSo (quoting him as saying ChatGPT was used to solve a long-standing medical problem), and PYMNTS links the post (ID 1941567568155902397, whose timestamp resolves to 5 July 2025 18:39 UTC); the post itself could not be read. The repost is vendor amplification of a self-report, not evidence. Dated to the post; the improvement accrued over the preceding months and is undated, and the Monitor's ID date (6 July) is the first Chinese report. The author's gender is not stated. The k.sina.cn article now returns “article no longer exists”; both 36kr pages sat behind a bot check, so their 163.com mirrors were read; Hindustan Times and Livemint were read with curl after WebFetch was refused. The ACMG guideline was read through the Europe PMC API.",
      "source": "https://oecd.ai/en/incidents/2025-07-06-2ff8",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Title reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what happened since from the cited sources.",
      "source": "https://news.ifeng.com/c/8kp8doX5Vd0",
      "editor": "AIBD"
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    {
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      "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/OpenAI; https://en.wikipedia.org/wiki/OpenAI",
      "editor": "AIBD"
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      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
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  "shade": "high",
  "claim_status": "Independently studied",
  "claim_basis": "Sources: one independent report, seven independent news reports and the beneficiary's other. The cited evidence includes no finding by a regulator or court.",
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              "statement": "The mutation was not found by ChatGPT. The user wrote that a Function Health panel showed the homozygous A1298C MTHFR variant. The AppSo account says the same (“在功能医学检查中发现”). What ChatGPT (o3, per the user) added was the inference. Given about five paragraphs of history and five PDFs of results, it concluded the symptoms were “on par with the mutation”. It concluded that B12 values that looked normal on paper might not be utilized, so supplementation was warranted. The doctor confirmed the reading and the supplement. The user then improved. The counterfactual is unproven. The same results were available to the doctor. The user had earlier been told the symptoms were anxiety and given an SSRI and Xanax. Whether the improvement came from the supplement, from regression, or from expectation is unknown. Livemint (“The AI flagged a possible genetic mutation”) and the Monitor's summary (“identification of genetic mutations missed by doctors”) overstate the model's role. The ACMG guideline and the ifeng piece also put the MTHFR premise itself in doubt."
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          "answer": "ChatGPT interpreted laboratory results that already showed an MTHFR variant and suggested that vitamin B12 supplementation might help. The user reported that a doctor agreed and that symptoms improved afterward.",
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              "statement": "The mutation was not found by ChatGPT. The user wrote that a Function Health panel showed the homozygous A1298C MTHFR variant. The AppSo account says the same (“在功能医学检查中发现”). What ChatGPT (o3, per the user) added was the inference. Given about five paragraphs of history and five PDFs of results, it concluded the symptoms were “on par with the mutation”. It concluded that B12 values that looked normal on paper might not be utilized, so supplementation was warranted. The doctor confirmed the reading and the supplement. The user then improved. The counterfactual is unproven. The same results were available to the doctor. The user had earlier been told the symptoms were anxiety and given an SSRI and Xanax. Whether the improvement came from the supplement, from regression, or from expectation is unknown. Livemint (“The AI flagged a possible genetic mutation”) and the Monitor's summary (“identification of genetic mutations missed by doctors”) overstate the model's role. The ACMG guideline and the ifeng piece also put the MTHFR premise itself in doubt."
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        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].missingness": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].proposition": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "cross_border_flows[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "decisions[].action_outcome": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].grounds": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].institution_task": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].success_criterion": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "deployment_stage": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].amount": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].costs[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].counterfactual": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].currency_price_basis": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].gross_net": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].measure_type": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].period_unit": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].realization": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].recipient_payer": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].return_payback": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].valuation_method": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "evaluations[].ai_uplift": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].comparator": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].design": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].effect": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].exposure": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].measurement_method": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].metric": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].reproduction_materials": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].setting_sample": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].uncertainty_limitations": {
        "state": "not_assessed",
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "ai_role",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations",
        "display": {
          "answer": "The account does not establish that the supplement caused the improvement or that ChatGPT found a mutation that clinicians had missed. The cited ACMG guidance also questions the clinical significance of the MTHFR premise.",
          "editor_note": ""
        }
      },
      "external_references[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "registry_ids": {
              "oecd_aim": "2025-07-06-2ff8"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "registry_ids"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "follow_up[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "later": {
              "status": "reversed",
              "date": "2025-07-08",
              "note": "Four days after the post, DXY reported that a doctor dismissed the case as of doubtful authenticity and probably functional-medicine promotion, cited the ACMG guideline against routine MTHFR testing, and noted that the post now showed as deleted by its author; this is a published dispute and deletion, not a documented reversal of the reported recovery.",
              "quote": "但也有医生怒斥，这个病例真实性存疑，「更可能是功能医学宣传再一次立功」。",
              "url": "https://news.ifeng.com/c/8kp8doX5Vd0"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "later"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "human_oversight": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "A doctor reviewed the interpretation and confirmed the supplement."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "ai_role",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "id": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "id": "AIBD-0141"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "id"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "infrastructure_dependencies[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiaries": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiary_count": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].benefit_type": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "benefit_type": "Improved Physical Health"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].claim": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "On 4 July 2025 Reddit user u/Adventurous-Gold6935 wrote in r/ChatGPT from the United States. They reported over ten years of unexplained symptoms. Tests included spinal magnetic resonance imaging (MRI), a computed tomography (CT) scan, in-depth blood work, a Lyme test and a neurologist's check for MS. Then a Function Health panel showed a homozygous A1298C MTHFR mutation. They uploaded five PDFs of those results and a symptom history to ChatGPT (o3, they said). It concluded the symptoms were “on par with the mutation”. It concluded that normal-looking B12 might not be utilized, so supplementation was needed. Their doctor, “super shocked”, agreed. On a methyl B complex, their symptoms were “largely resolved” a few months later. OpenAI's president reposted the thread on 6 July.",
            "benefit_type": "Improved Physical Health"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].distribution": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].duration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].stakeholder_group": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 2,
                "reason": "By the user's own account, ten-plus years of near-constant tingling, tinnitus and chronic fatigue were “largely resolved” within months of a doctor-approved methyl B complex. Corroborated, that would rate one level higher. It is pseudonymous and self-reported. No clinician has spoken publicly. A DXY-sourced ifeng piece reports doctors doubting its authenticity."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].status": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].unexpected": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "unexpected": false,
            "purpose": "ChatGPT is OpenAI's general-purpose assistant, built to answer questions over typed text and uploaded documents. Reading lab PDFs and a symptom history and proposing an explanation is an instance of that general use, not a designed diagnostic function. So the benefit falls within what the system was built to do."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "unexpected",
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "places[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "developer_country": "United States",
            "deployer_country": "United States"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "developer_country",
            "deployer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "ChatGPT is OpenAI's general-purpose assistant, built to answer questions over typed text and uploaded documents. Reading lab PDFs and a symptom history and proposing an explanation is an instance of that general use, not a designed diagnostic function. So the benefit falls within what the system was built to do."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "record_dates": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "date_observed": "2025-07-04",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the OECD Monitor entry and the cited sources. Filed as benefit created or restored, as the classifier proposed: a health improvement for one person, not prevention of a specified harm; the Monitor itself labels it an incident on “harm mitigation (improvement in health)”. The Monitor entry bundles several Reddit cases (the 新智元 piece adds crasstyfartman's sister, buyableblah's endometriosis and sometimelater0212's dog) and Microsoft's MAI-DxO benchmark on NEJM cases, which is a study; this record is restricted to the one dated post. The post was read through the PullPush archive API (reddit.com returned 403): author u/Adventurous-Gold6935, 4 July 2025 16:16 UTC, 9,149 points and 1,089 comments at capture; Hindustan Times counted over 6,000 upvotes on 5 July and Livemint more than 9,000 on 6 July. The user's own words make clear that the mutation came from a Function Health panel and that ChatGPT supplied the interpretation; the model name, the five uploaded PDFs, the methyl B complex, the earlier anxiety diagnosis with an SSRI and Xanax, and the symptom list (full-body tingling, tinnitus, chronic fatigue) come from the author's replies in the thread, 4 to 6 July. Greg Brockman's repost on X is reported by Cailian Press (“今日”, 6 July Beijing time) and AppSo (quoting him as saying ChatGPT was used to solve a long-standing medical problem), and PYMNTS links the post (ID 1941567568155902397, whose timestamp resolves to 5 July 2025 18:39 UTC); the post itself could not be read. The repost is vendor amplification of a self-report, not evidence. Dated to the post; the improvement accrued over the preceding months and is undated, and the Monitor's ID date (6 July) is the first Chinese report. The author's gender is not stated. The k.sina.cn article now returns “article no longer exists”; both 36kr pages sat behind a bot check, so their 163.com mirrors were read; Hindustan Times and Livemint were read with curl after WebFetch was refused. The ACMG guideline was read through the Europe PMC API.",
                "source": "https://oecd.ai/en/incidents/2025-07-06-2ff8",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Title reworded to state the event without naming who claims it.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Added what happened since from the cited sources.",
                "source": "https://news.ifeng.com/c/8kp8doX5Vd0",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/OpenAI; https://en.wikipedia.org/wiki/OpenAI",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "date_observed",
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "replication.attempts[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "replication.conditions": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "The user already held a genetic result (homozygous A1298C MTHFR from a Function Health panel), five PDFs of laboratory results and a written symptom timeline. They gave all of it to the model rather than a description of symptoms alone.",
                "A paid reasoning model (o3, by the user's account) was asked to reconcile B12 values in the laboratory's normal range with persistent neurological symptoms. It proposed a mechanism and a supplement rather than a bare label.",
                "A treating doctor willing to review the model's reasoning and the gene report and to approve a methylated B-complex before it was started."
              ],
              "must_hold": [
                "A clinician reviews the model's inference and approves any supplement or treatment before it is started. Here the doctor did, by the user's account.",
                "The genetic result comes from an actual test. The model interprets; it does not genotype. The ACMG guideline says MTHFR polymorphism testing has minimal clinical utility, so the premise itself is contested.",
                "The benefit is self-reported and pseudonymous. Any record of this kind must carry the absence of a clinician statement and the published medical doubt (DXY via ifeng) as a standing caveat."
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "revision_history[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the OECD Monitor entry and the cited sources. Filed as benefit created or restored, as the classifier proposed: a health improvement for one person, not prevention of a specified harm; the Monitor itself labels it an incident on “harm mitigation (improvement in health)”. The Monitor entry bundles several Reddit cases (the 新智元 piece adds crasstyfartman's sister, buyableblah's endometriosis and sometimelater0212's dog) and Microsoft's MAI-DxO benchmark on NEJM cases, which is a study; this record is restricted to the one dated post. The post was read through the PullPush archive API (reddit.com returned 403): author u/Adventurous-Gold6935, 4 July 2025 16:16 UTC, 9,149 points and 1,089 comments at capture; Hindustan Times counted over 6,000 upvotes on 5 July and Livemint more than 9,000 on 6 July. The user's own words make clear that the mutation came from a Function Health panel and that ChatGPT supplied the interpretation; the model name, the five uploaded PDFs, the methyl B complex, the earlier anxiety diagnosis with an SSRI and Xanax, and the symptom list (full-body tingling, tinnitus, chronic fatigue) come from the author's replies in the thread, 4 to 6 July. Greg Brockman's repost on X is reported by Cailian Press (“今日”, 6 July Beijing time) and AppSo (quoting him as saying ChatGPT was used to solve a long-standing medical problem), and PYMNTS links the post (ID 1941567568155902397, whose timestamp resolves to 5 July 2025 18:39 UTC); the post itself could not be read. The repost is vendor amplification of a self-report, not evidence. Dated to the post; the improvement accrued over the preceding months and is undated, and the Monitor's ID date (6 July) is the first Chinese report. The author's gender is not stated. The k.sina.cn article now returns “article no longer exists”; both 36kr pages sat behind a bot check, so their 163.com mirrors were read; Hindustan Times and Livemint were read with curl after WebFetch was refused. The ACMG guideline was read through the Europe PMC API.",
                "source": "https://oecd.ai/en/incidents/2025-07-06-2ff8",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Title reworded to state the event without naming who claims it.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Added what happened since from the cited sources.",
                "source": "https://news.ifeng.com/c/8kp8doX5Vd0",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/OpenAI; https://en.wikipedia.org/wiki/OpenAI",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "domain": "Consumer health (self-directed interpretation of laboratory and genetic results)",
            "segment": "Consumer"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "domain",
            "segment"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].access_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].citation_locator": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "evidence": [
              {
                "kind": "other",
                "citation": "u/Adventurous-Gold6935 (2025). ChatGPT solved a 10+ year problem no doctors could figure out. Reddit, r/ChatGPT, 4 July 2025.",
                "title": "ChatGPT solved a 10+ year problem no doctors could figure out",
                "url": "https://www.reddit.com/r/ChatGPT/comments/1lrmom4/chatgpt_solved_a_10_year_problem_no_doctors_could/",
                "date": "2025-07-04",
                "written_by": "beneficiary",
                "quote": "ChatGPT took all my lab results and symptom history and concluded this was on par with the mutation."
              },
              {
                "kind": "news report",
                "citation": "Chouhan, M. S. / Hindustan Times (2025). ChatGPT uncovers root cause of mysterious illness that baffled doctors for over 10 years. Hindustan Times, Trending, 5 July 2025.",
                "title": "ChatGPT uncovers root cause of mysterious illness that baffled doctors for over 10 years",
                "url": "https://www.hindustantimes.com/trending/chatgpt-uncovers-root-cause-of-mysterious-illness-that-baffled-doctors-for-over-10-years-101751704864270.html",
                "date": "2025-07-05",
                "written_by": "independent",
                "quote": "A Reddit post is gaining significant attention after a user claimed that ChatGPT helped uncover the root cause of a decade-long health mystery"
              },
              {
                "kind": "news report",
                "citation": "Thakur, A. / Mint (2025). Reddit user claims ChatGPT uncovered medical condition doctors overlooked for a decade. Livemint, 6 July 2025.",
                "title": "Reddit user claims ChatGPT uncovered medical condition doctors overlooked for a decade",
                "url": "https://www.livemint.com/news/trends/reddit-user-claims-chatgpt-uncovered-medical-condition-doctors-overlooked-for-a-decade-11751788742326.html",
                "date": "2025-07-06",
                "written_by": "independent",
                "quote": "The AI flagged a possible genetic mutation- homozygous A1298C MTHFR, known to affect B12 processing in the body, even when blood levels seem normal."
              },
              {
                "kind": "news report",
                "citation": "PYMNTS (2025). ChatGPT as Doctor: When Consumers Rely on AI for Medical Advice. PYMNTS.com, 10 July 2025.",
                "title": "ChatGPT as Doctor: When Consumers Rely on AI for Medical Advice",
                "url": "https://www.pymnts.com/news/artificial-intelligence/2025/chatgpt-as-doctor-when-consumers-rely-on-ai-for-medical-advice/",
                "date": "2025-07-10",
                "written_by": "independent",
                "quote": "A physician later confirmed the diagnosis and the B12 supplement treatment later \"largely resolved\" the symptoms."
              },
              {
                "kind": "news report",
                "citation": "财联社 / Cailian Press (2025). 十多年未解谜症，ChatGPT一语道破病因？微软：“医疗超级智能”渐近. 新浪财经, 6 July 2025.",
                "title": "十多年未解谜症，ChatGPT一语道破病因？微软：“医疗超级智能”渐近",
                "url": "https://finance.sina.com.cn/jjxw/2025-07-06/doc-infephkm0866335.shtml",
                "date": "2025-07-06",
                "written_by": "independent",
                "quote": "OpenAI总裁兼联合创始人Greg Brockman也在今日转发了这一事件。"
              },
              {
                "kind": "news report",
                "citation": "AppSo (2025). 百万人围观，OpenAI总裁转发：他用 ChatGPT，找出了医生10年都没发现的病因. 网易 (mirror of 36氪), 7 July 2025.",
                "title": "百万人围观，OpenAI总裁转发：他用 ChatGPT，找出了医生10年都没发现的病因",
                "url": "https://m.163.com/dy/article/K3SPL1UB0511CSAO.html",
                "date": "2025-07-07",
                "written_by": "independent",
                "quote": "直到某天，他在功能医学检查中发现了一个异于常人的遗传突变，MTHFR（叶酸代谢基因）A1298C 突变"
              },
              {
                "kind": "news report",
                "citation": "新智元 (2025). 10年顽疾ChatGPT一眼识破！AlphaGo时刻震撼全球医疗界. 网易 (mirror of 36氪), 6 July 2025.",
                "title": "10年顽疾ChatGPT一眼识破！AlphaGo时刻震撼全球医疗界",
                "url": "https://m.163.com/dy/article/K3PMM22K0511ABV6.html",
                "date": "2025-07-06",
                "written_by": "independent",
                "quote": "ChatGPT发现，虽然血清维生素B12水平正常，但却与持续性的神经痛和慢性疲乏矛盾"
              },
              {
                "kind": "news report",
                "citation": "丁香园 / DXY (2025). 10年顽疾被ChatGPT确诊了？医生怒斥：假的，别被骗了. 凤凰网, 8 July 2025.",
                "title": "10年顽疾被ChatGPT确诊了？医生怒斥：假的，别被骗了",
                "url": "https://news.ifeng.com/c/8kp8doX5Vd0",
                "date": "2025-07-08",
                "written_by": "independent",
                "quote": "但也有医生怒斥，这个病例真实性存疑，『更可能是功能医学宣传再一次立功』。"
              },
              {
                "kind": "report",
                "citation": "Hickey, S. E., Curry, C. J., Toriello, H. V. (2013). ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing. Genetics in Medicine 15(2), 153-156. doi:10.1038/gim.2012.165.",
                "title": "ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing",
                "url": "https://europepmc.org/article/MED/23288205",
                "date": "2013-01-03",
                "written_by": "independent",
                "quote": "There is growing evidence that MTHFR polymorphism testing has minimal clinical utility and, therefore should not be ordered as a part of a routine evaluation for thrombophilia."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "evidence"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].id": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "AIBD-0141-source-0001",
            "AIBD-0141-source-0002",
            "AIBD-0141-source-0003",
            "AIBD-0141-source-0004",
            "AIBD-0141-source-0005",
            "AIBD-0141-source-0006",
            "AIBD-0141-source-0007",
            "AIBD-0141-source-0008",
            "AIBD-0141-source-0009"
          ],
          "role": "Existing evidence items, in their original order"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Stable within the fingerprinted record version; no source content or source review has been added.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "sources[].language": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].relationship": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "evidence": [
              {
                "kind": "other",
                "citation": "u/Adventurous-Gold6935 (2025). ChatGPT solved a 10+ year problem no doctors could figure out. Reddit, r/ChatGPT, 4 July 2025.",
                "title": "ChatGPT solved a 10+ year problem no doctors could figure out",
                "url": "https://www.reddit.com/r/ChatGPT/comments/1lrmom4/chatgpt_solved_a_10_year_problem_no_doctors_could/",
                "date": "2025-07-04",
                "written_by": "beneficiary",
                "quote": "ChatGPT took all my lab results and symptom history and concluded this was on par with the mutation."
              },
              {
                "kind": "news report",
                "citation": "Chouhan, M. S. / Hindustan Times (2025). ChatGPT uncovers root cause of mysterious illness that baffled doctors for over 10 years. Hindustan Times, Trending, 5 July 2025.",
                "title": "ChatGPT uncovers root cause of mysterious illness that baffled doctors for over 10 years",
                "url": "https://www.hindustantimes.com/trending/chatgpt-uncovers-root-cause-of-mysterious-illness-that-baffled-doctors-for-over-10-years-101751704864270.html",
                "date": "2025-07-05",
                "written_by": "independent",
                "quote": "A Reddit post is gaining significant attention after a user claimed that ChatGPT helped uncover the root cause of a decade-long health mystery"
              },
              {
                "kind": "news report",
                "citation": "Thakur, A. / Mint (2025). Reddit user claims ChatGPT uncovered medical condition doctors overlooked for a decade. Livemint, 6 July 2025.",
                "title": "Reddit user claims ChatGPT uncovered medical condition doctors overlooked for a decade",
                "url": "https://www.livemint.com/news/trends/reddit-user-claims-chatgpt-uncovered-medical-condition-doctors-overlooked-for-a-decade-11751788742326.html",
                "date": "2025-07-06",
                "written_by": "independent",
                "quote": "The AI flagged a possible genetic mutation- homozygous A1298C MTHFR, known to affect B12 processing in the body, even when blood levels seem normal."
              },
              {
                "kind": "news report",
                "citation": "PYMNTS (2025). ChatGPT as Doctor: When Consumers Rely on AI for Medical Advice. PYMNTS.com, 10 July 2025.",
                "title": "ChatGPT as Doctor: When Consumers Rely on AI for Medical Advice",
                "url": "https://www.pymnts.com/news/artificial-intelligence/2025/chatgpt-as-doctor-when-consumers-rely-on-ai-for-medical-advice/",
                "date": "2025-07-10",
                "written_by": "independent",
                "quote": "A physician later confirmed the diagnosis and the B12 supplement treatment later \"largely resolved\" the symptoms."
              },
              {
                "kind": "news report",
                "citation": "财联社 / Cailian Press (2025). 十多年未解谜症，ChatGPT一语道破病因？微软：“医疗超级智能”渐近. 新浪财经, 6 July 2025.",
                "title": "十多年未解谜症，ChatGPT一语道破病因？微软：“医疗超级智能”渐近",
                "url": "https://finance.sina.com.cn/jjxw/2025-07-06/doc-infephkm0866335.shtml",
                "date": "2025-07-06",
                "written_by": "independent",
                "quote": "OpenAI总裁兼联合创始人Greg Brockman也在今日转发了这一事件。"
              },
              {
                "kind": "news report",
                "citation": "AppSo (2025). 百万人围观，OpenAI总裁转发：他用 ChatGPT，找出了医生10年都没发现的病因. 网易 (mirror of 36氪), 7 July 2025.",
                "title": "百万人围观，OpenAI总裁转发：他用 ChatGPT，找出了医生10年都没发现的病因",
                "url": "https://m.163.com/dy/article/K3SPL1UB0511CSAO.html",
                "date": "2025-07-07",
                "written_by": "independent",
                "quote": "直到某天，他在功能医学检查中发现了一个异于常人的遗传突变，MTHFR（叶酸代谢基因）A1298C 突变"
              },
              {
                "kind": "news report",
                "citation": "新智元 (2025). 10年顽疾ChatGPT一眼识破！AlphaGo时刻震撼全球医疗界. 网易 (mirror of 36氪), 6 July 2025.",
                "title": "10年顽疾ChatGPT一眼识破！AlphaGo时刻震撼全球医疗界",
                "url": "https://m.163.com/dy/article/K3PMM22K0511ABV6.html",
                "date": "2025-07-06",
                "written_by": "independent",
                "quote": "ChatGPT发现，虽然血清维生素B12水平正常，但却与持续性的神经痛和慢性疲乏矛盾"
              },
              {
                "kind": "news report",
                "citation": "丁香园 / DXY (2025). 10年顽疾被ChatGPT确诊了？医生怒斥：假的，别被骗了. 凤凰网, 8 July 2025.",
                "title": "10年顽疾被ChatGPT确诊了？医生怒斥：假的，别被骗了",
                "url": "https://news.ifeng.com/c/8kp8doX5Vd0",
                "date": "2025-07-08",
                "written_by": "independent",
                "quote": "但也有医生怒斥，这个病例真实性存疑，『更可能是功能医学宣传再一次立功』。"
              },
              {
                "kind": "report",
                "citation": "Hickey, S. E., Curry, C. J., Toriello, H. V. (2013). ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing. Genetics in Medicine 15(2), 153-156. doi:10.1038/gim.2012.165.",
                "title": "ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing",
                "url": "https://europepmc.org/article/MED/23288205",
                "date": "2013-01-03",
                "written_by": "independent",
                "quote": "There is growing evidence that MTHFR polymorphism testing has minimal clinical utility and, therefore should not be ordered as a part of a routine evaluation for thrombophilia."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "evidence"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].upstream_sources": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "strategic_assessments[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "strategic assessments"
      },
      "summary": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "summary": "A Reddit user says ChatGPT tied 10+ years of symptoms to an MTHFR A1298C result and B12 use; doctor agreed; symptoms largely resolved.",
            "account": "On 4 July 2025 Reddit user u/Adventurous-Gold6935 wrote in r/ChatGPT from the United States. They reported over ten years of unexplained symptoms. Tests included spinal magnetic resonance imaging (MRI), a computed tomography (CT) scan, in-depth blood work, a Lyme test and a neurologist's check for MS. Then a Function Health panel showed a homozygous A1298C MTHFR mutation. They uploaded five PDFs of those results and a symptom history to ChatGPT (o3, they said). It concluded the symptoms were “on par with the mutation”. It concluded that normal-looking B12 might not be utilized, so supplementation was needed. Their doctor, “super shocked”, agreed. On a methyl B complex, their symptoms were “largely resolved” a few months later. OpenAI's president reposted the thread on 6 July."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "summary",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].component_role": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "ChatGPT interpreted laboratory reports alongside the user’s symptom history."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Restated the mechanical task already described in the existing system and AI-role fields. No new source review is claimed.",
          "record_fields": [
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].deployment_configuration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "o3, according to the author."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Separated the model, software, hardware, or operation already described in the existing record. No new source review is claimed.",
          "record_fields": [
            "model_version",
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].model_version": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "model_version": "o3 (the author's one-word reply when asked whether they used the free or paid version of ChatGPT)"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "model_version"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial",
        "display": {
          "answer": "Exact release not established.",
          "editor_note": ""
        }
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "ChatGPT (OpenAI consumer app), given five uploaded Function Health lab PDFs and a written symptom timeline"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "system"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].provider": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "application_developer": "OpenAI"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "developer"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "ChatGPT ties a Reddit user's ten-plus years of unexplained symptoms to a homozygous A1298C MTHFR test result and proposes B12 supplementation; the symptoms may have largely resolved",
            "headline": "ChatGPT ties ten-plus years of symptoms to an MTHFR mutation"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "title",
            "headline"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "version": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "93eb1e0326c679485e074fb8a055a496ad8200ac9bf7133980740a921278f8f2"
          ],
          "role": "SHA-256 of normalized original case data"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Deterministic content version assigned by the local migration.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "On 4 July 2025 Reddit user u/Adventurous-Gold6935 wrote in r/ChatGPT from the United States. They reported over ten years of unexplained symptoms. Tests included spinal magnetic resonance imaging (MRI), a computed tomography (CT) scan, in-depth blood work, a Lyme test and a neurologist's check for MS. Then a Function Health panel showed a homozygous A1298C MTHFR mutation. They uploaded five PDFs of those results and a symptom history to ChatGPT (o3, they said). It concluded the symptoms were “on par with the mutation”. It concluded that normal-looking B12 might not be utilized, so supplementation was needed. Their doctor, “super shocked”, agreed. On a methyl B complex, their symptoms were “largely resolved” a few months later. OpenAI's president reposted the thread on 6 July.",
            "replication": {
              "produced_by": [
                "The user already held a genetic result (homozygous A1298C MTHFR from a Function Health panel), five PDFs of laboratory results and a written symptom timeline. They gave all of it to the model rather than a description of symptoms alone.",
                "A paid reasoning model (o3, by the user's account) was asked to reconcile B12 values in the laboratory's normal range with persistent neurological symptoms. It proposed a mechanism and a supplement rather than a bare label.",
                "A treating doctor willing to review the model's reasoning and the gene report and to approve a methylated B-complex before it was started."
              ],
              "must_hold": [
                "A clinician reviews the model's inference and approves any supplement or treatment before it is started. Here the doctor did, by the user's account.",
                "The genetic result comes from an actual test. The model interprets; it does not genotype. The ACMG guideline says MTHFR polymorphism testing has minimal clinical utility, so the premise itself is contested.",
                "The benefit is self-reported and pseudonymous. Any record of this kind must carry the absence of a clinician statement and the published medical doubt (DXY via ifeng) as a standing caveat."
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 33,
      "reviewed": 0,
      "record_mapped": 33,
      "not_assessed": 58,
      "complete": false,
      "by_state": {
        "value_present": 33,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 58,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}
