{
  "id": "AIBD-0272",
  "title": "Relative uses ChatGPT to navigate literature during FOLFIRINOX; pancreatic liver metastases regress, contribution undetermined",
  "summary": "A dentist nephew in Baku used ChatGPT, later GPT-5, to summarize literature and weigh off-label add-ons for a 65-year-old on FOLFIRINOX; 11 liver metastases regressed; the author cannot attribute it.",
  "date_observed": "2026-01-01",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "Khalil (International Medical Case Reports Journal, 2026) is a dentist and the patient's nephew writing as sole author. He reports a 65-year-old with metastatic pancreatic adenosquamous carcinoma and 11 hepatic metastases treated with FOLFIRINOX. The patient and author added high-dose intravenous vitamin C, doxycycline and later azithromycin as off-label home measures. After three cycles magnetic resonance imaging (MRI) showed complete radiological regression of the hepatic lesions, confirmed around the sixth cycle. Chemotherapy stopped after six cycles. Ursodeoxycholic acid in late September 2025 resolved cholestasis. The author and patient used ChatGPT, initially an earlier model and later GPT-5. They used it to search and summarize literature, interpret CA 19–9 during cholestasis and appraise data on adjunctive interventions. The author writes that GPT “materially influenced how we navigated information”. He also states that the single case cannot determine the contribution of those interventions to the response. No attributable change in diagnosis or treatment can be established from the sources on record. The clinical course ran through 2025.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Patient-side literature navigation and summarization during cancer treatment",
  "system": "ChatGPT (an earlier model, later GPT-5)",
  "model_version": "GPT-5 (later phase); earlier model unspecified",
  "developer": "OpenAI",
  "deployer": "The patient's nephew (Uzman Dent, Baku) with the patient",
  "location": "Baku, Azerbaijan (surgery and pathology performed in Turkey)",
  "domain": "Health; oncology",
  "segment": "Patients and families navigating cancer care",
  "benefit_type": "Improved Knowledge Discovery",
  "taxonomy_note": "The AI's part was literature summary; the metastasis regression is not attributed.",
  "registry_ids": {},
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    {
      "group": "personal",
      "depth": null,
      "reason": "Complete radiological regression occurred on FOLFIRINOX. But the author states the case cannot determine the contribution of the model-informed adjuncts."
    },
    {
      "group": "organizational",
      "depth": null,
      "reason": "No organizational outcome."
    },
    {
      "group": "societal",
      "depth": null,
      "reason": "Single case."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "ChatGPT's role, per the author, was literature navigation and summarization that shaped which supportive options the family considered. The author reports no efficacy claim and warns that outputs may be incorrect. The outcome is not attributable to the model."
  },
  "evidence": [
    {
      "kind": "case report",
      "citation": "Khalil ST. Int Med Case Rep J (2026), doi 10.2147/IMCRJ.S639766",
      "title": "Complete Regression of 11 Hepatic Metastases in Metastatic Pancreatic Adenosquamous Carcinoma and the Role of GPT in Patient Navigation",
      "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13644719/",
      "date": "2026-01-01",
      "written_by": "deployer",
      "quote": "GPT materially influenced how we navigated information and considered supportive options"
    },
    {
      "kind": "case report",
      "citation": "Khalil ST. Int Med Case Rep J (2026), discussion",
      "title": "Complete Regression of 11 Hepatic Metastases in Metastatic Pancreatic Adenosquamous Carcinoma and the Role of GPT in Patient Navigation",
      "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13644719/",
      "date": "2026-01-01",
      "written_by": "deployer",
      "quote": "this single case cannot determine the contribution of those adjunctive interventions to the observed radiological response."
    }
  ],
  "replication": {
    "produced_by": [
      "Family member with medical training prompting a general-purpose model for literature summaries",
      "Standard FOLFIRINOX chemotherapy"
    ],
    "must_hold": [
      "Treating oncologists remain responsible for decisions",
      "Model outputs verified against sources"
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "Nephew uses ChatGPT during FOLFIRINOX; liver metastases regress",
  "metric": "11 liver metastases regressed",
  "comparator": null,
  "later": {
    "status": "unknown",
    "date": null,
    "note": "The single-author case report describes the clinical course through late 2025 and states that the contribution of the ChatGPT-guided adjuncts cannot be determined; no later development was found in the cited source.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": null,
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/OpenAI",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "claimed",
  "shade": "low",
  "claim_status": "The deployer's account",
  "claim_basis": "Sources: the deployer's case report. The cited evidence includes no independent source and no finding by a regulator or court.",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "coverage": "partial",
        "family": "monetary observations"
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
        "review_state": "not_assessed",
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        "family": "evaluations"
      },
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        "state": "not_assessed",
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        "family": "evaluations"
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        "state": "not_assessed",
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        "state": "not_assessed",
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          "answer": "11 liver metastases regressed",
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      },
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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            "account": "Khalil (International Medical Case Reports Journal, 2026) is a dentist and the patient's nephew writing as sole author. He reports a 65-year-old with metastatic pancreatic adenosquamous carcinoma and 11 hepatic metastases treated with FOLFIRINOX. The patient and author added high-dose intravenous vitamin C, doxycycline and later azithromycin as off-label home measures. After three cycles magnetic resonance imaging (MRI) showed complete radiological regression of the hepatic lesions, confirmed around the sixth cycle. Chemotherapy stopped after six cycles. Ursodeoxycholic acid in late September 2025 resolved cholestasis. The author and patient used ChatGPT, initially an earlier model and later GPT-5. They used it to search and summarize literature, interpret CA 19–9 during cholestasis and appraise data on adjunctive interventions. The author writes that GPT “materially influenced how we navigated information”. He also states that the single case cannot determine the contribution of those interventions to the response. No attributable change in diagnosis or treatment can be established from the sources on record. The clinical course ran through 2025.",
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        "review_state": "record_mapped",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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      "outcomes[].stakeholder_group": {
        "state": "value_present",
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          "kind": "record_fields",
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            "ratings": [
              {
                "group": "personal",
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              {
                "group": "organizational",
                "reason": "No organizational outcome."
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                "group": "societal",
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            ]
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          "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": "Patient-side literature navigation and summarization during cancer treatment"
          }
        },
        "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": {
            "location": "Baku, Azerbaijan (surgery and pathology performed in Turkey)",
            "developer_country": "United States"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "location",
            "developer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "Patient-side literature navigation and summarization during cancer treatment"
          }
        },
        "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": "2026-01-01",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/OpenAI",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Notes about which sources could be read were reworded for readers; 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": [
                "Family member with medical training prompting a general-purpose model for literature summaries",
                "Standard FOLFIRINOX chemotherapy"
              ],
              "must_hold": [
                "Treating oncologists remain responsible for decisions",
                "Model outputs verified against sources"
              ],
              "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 cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/OpenAI",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Notes about which sources could be read were reworded for readers; 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": "Health; oncology",
            "segment": "Patients and families navigating cancer care"
          }
        },
        "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": "case report",
                "citation": "Khalil ST. Int Med Case Rep J (2026), doi 10.2147/IMCRJ.S639766",
                "title": "Complete Regression of 11 Hepatic Metastases in Metastatic Pancreatic Adenosquamous Carcinoma and the Role of GPT in Patient Navigation",
                "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13644719/",
                "date": "2026-01-01",
                "written_by": "deployer",
                "quote": "GPT materially influenced how we navigated information and considered supportive options"
              },
              {
                "kind": "case report",
                "citation": "Khalil ST. Int Med Case Rep J (2026), discussion",
                "title": "Complete Regression of 11 Hepatic Metastases in Metastatic Pancreatic Adenosquamous Carcinoma and the Role of GPT in Patient Navigation",
                "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13644719/",
                "date": "2026-01-01",
                "written_by": "deployer",
                "quote": "this single case cannot determine the contribution of those adjunctive interventions to the observed radiological response."
              }
            ]
          }
        },
        "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-0272-source-0001",
            "AIBD-0272-source-0002"
          ],
          "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": "case report",
                "citation": "Khalil ST. Int Med Case Rep J (2026), doi 10.2147/IMCRJ.S639766",
                "title": "Complete Regression of 11 Hepatic Metastases in Metastatic Pancreatic Adenosquamous Carcinoma and the Role of GPT in Patient Navigation",
                "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13644719/",
                "date": "2026-01-01",
                "written_by": "deployer",
                "quote": "GPT materially influenced how we navigated information and considered supportive options"
              },
              {
                "kind": "case report",
                "citation": "Khalil ST. Int Med Case Rep J (2026), discussion",
                "title": "Complete Regression of 11 Hepatic Metastases in Metastatic Pancreatic Adenosquamous Carcinoma and the Role of GPT in Patient Navigation",
                "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13644719/",
                "date": "2026-01-01",
                "written_by": "deployer",
                "quote": "this single case cannot determine the contribution of those adjunctive interventions to the observed radiological response."
              }
            ]
          }
        },
        "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 dentist nephew in Baku used ChatGPT, later GPT-5, to summarize literature and weigh off-label add-ons for a 65-year-old on FOLFIRINOX; 11 liver metastases regressed; the author cannot attribute it.",
            "account": "Khalil (International Medical Case Reports Journal, 2026) is a dentist and the patient's nephew writing as sole author. He reports a 65-year-old with metastatic pancreatic adenosquamous carcinoma and 11 hepatic metastases treated with FOLFIRINOX. The patient and author added high-dose intravenous vitamin C, doxycycline and later azithromycin as off-label home measures. After three cycles magnetic resonance imaging (MRI) showed complete radiological regression of the hepatic lesions, confirmed around the sixth cycle. Chemotherapy stopped after six cycles. Ursodeoxycholic acid in late September 2025 resolved cholestasis. The author and patient used ChatGPT, initially an earlier model and later GPT-5. They used it to search and summarize literature, interpret CA 19–9 during cholestasis and appraise data on adjunctive interventions. The author writes that GPT “materially influenced how we navigated information”. He also states that the single case cannot determine the contribution of those interventions to the response. No attributable change in diagnosis or treatment can be established from the sources on record. The clinical course ran through 2025."
          }
        },
        "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 helped the author find and summarize relevant literature."
        },
        "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": "value_present",
        "value": {
          "kind": "text",
          "text": "The later phase used GPT-5. The earlier phase’s model is not identified in the existing account."
        },
        "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[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "GPT-5 in the later phase."
        },
        "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": "GPT-5 (later phase); earlier model unspecified"
          }
        },
        "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 (an earlier model, later GPT-5)"
          }
        },
        "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": "Relative uses ChatGPT to navigate literature during FOLFIRINOX; pancreatic liver metastases regress, contribution undetermined",
            "headline": "Nephew uses ChatGPT during FOLFIRINOX; liver metastases regress"
          }
        },
        "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": [
            "21651f0f623c4aad576aeb1a62c3c343404831855be984da6a47494c2d41f904"
          ],
          "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": "Khalil (International Medical Case Reports Journal, 2026) is a dentist and the patient's nephew writing as sole author. He reports a 65-year-old with metastatic pancreatic adenosquamous carcinoma and 11 hepatic metastases treated with FOLFIRINOX. The patient and author added high-dose intravenous vitamin C, doxycycline and later azithromycin as off-label home measures. After three cycles magnetic resonance imaging (MRI) showed complete radiological regression of the hepatic lesions, confirmed around the sixth cycle. Chemotherapy stopped after six cycles. Ursodeoxycholic acid in late September 2025 resolved cholestasis. The author and patient used ChatGPT, initially an earlier model and later GPT-5. They used it to search and summarize literature, interpret CA 19–9 during cholestasis and appraise data on adjunctive interventions. The author writes that GPT “materially influenced how we navigated information”. He also states that the single case cannot determine the contribution of those interventions to the response. No attributable change in diagnosis or treatment can be established from the sources on record. The clinical course ran through 2025.",
            "replication": {
              "produced_by": [
                "Family member with medical training prompting a general-purpose model for literature summaries",
                "Standard FOLFIRINOX chemotherapy"
              ],
              "must_hold": [
                "Treating oncologists remain responsible for decisions",
                "Model outputs verified against sources"
              ],
              "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": 31,
      "reviewed": 0,
      "record_mapped": 31,
      "not_assessed": 60,
      "complete": false,
      "by_state": {
        "value_present": 31,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 60,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}