{
  "schema_version": "teranode.review-draft.v1",
  "artifact_status": "unverified_draft",
  "review": {
    "schema_version": "teranode.independent-review.v1",
    "review_id": "RV-2026-DE000002",
    "produced_at": "2026-09-06T12:00:00.000Z",
    "status": "awaiting_human_disposition",
    "source": {
      "vendor": "openai",
      "model": "GPT-5.5"
    },
    "independence": {
      "status": "declared_source_vendor_excluded",
      "rule": "different_model_vendor",
      "source_vendor": "openai",
      "auditor_vendors": [
        "anthropic",
        "google",
        "xai"
      ],
      "minimum_distinct_auditor_vendors": 3
    },
    "input_fingerprint": {
      "algorithm": "sha256",
      "canonicalization": "teranode-sorted-json-v1",
      "value": "50002699ff38d2cd264c958431bd4cdbeb480041dec5c36a936f3b7cd217ada2"
    },
    "verdict": "exceptions_to_review",
    "summary": "The fictional launch recommendation leaves four gaps for a person to examine before acting.",
    "finding_count": 4,
    "lenses": [
      {
        "id": "evidence",
        "label": "Evidence and grounding",
        "auditor": {
          "vendor": "anthropic",
          "model": "illustrative-reviewer-a",
          "policy_version": "synthetic-example-only"
        },
        "verdict": "exceptions_to_review",
        "summary": "The answer does not identify the evidence behind its timing estimate or state which launch dependencies were included.",
        "findings": [
          {
            "category": "missing_fact",
            "severity": "medium",
            "source_excerpt": "Move the customer launch forward at the end of this month.",
            "analysis": "The answer does not identify the evidence behind its timing estimate or state which launch dependencies were included.",
            "required_action": "Document the launch dependencies and the evidence supporting the proposed date before reconsidering an earlier launch.",
            "verification_required": true,
            "gap_class": "evidence",
            "id": "EV-01",
            "lens": "evidence"
          }
        ]
      },
      {
        "id": "fiduciary",
        "label": "Costs and conflicts",
        "auditor": {
          "vendor": "google",
          "model": "illustrative-reviewer-b",
          "policy_version": "synthetic-example-only"
        },
        "verdict": "exceptions_to_review",
        "summary": "The answer does not compare the added support cost with the expected timing benefit or identify who bears the cost of a rushed launch.",
        "findings": [
          {
            "category": "missing_fact",
            "severity": "medium",
            "source_excerpt": "The faster launch should produce earlier revenue.",
            "analysis": "The answer does not compare the added support cost with the expected timing benefit or identify who bears the cost of a rushed launch.",
            "required_action": "Compare additional support costs with the expected timing benefit, including which team would carry the extra work.",
            "verification_required": true,
            "gap_class": "evidence",
            "id": "FD-01",
            "lens": "fiduciary"
          }
        ]
      },
      {
        "id": "risk",
        "label": "Risk and fit",
        "auditor": {
          "vendor": "xai",
          "model": "illustrative-reviewer-c",
          "policy_version": "synthetic-example-only"
        },
        "verdict": "exceptions_to_review",
        "summary": "The answer does not examine the impact of a service interruption, a privacy incident, or a support backlog during the first customer week.",
        "findings": [
          {
            "category": "missing_fact",
            "severity": "medium",
            "source_excerpt": "The team can address any remaining issues after launch.",
            "analysis": "The answer does not examine the impact of a service interruption, a privacy incident, or a support backlog during the first customer week.",
            "required_action": "Document service interruption, privacy and support-backlog scenarios and how the team would respond before reconsidering the date.",
            "verification_required": true,
            "gap_class": "evidence",
            "id": "RK-01",
            "lens": "risk"
          }
        ]
      },
      {
        "id": "alternatives",
        "label": "Alternatives",
        "auditor": {
          "vendor": "anthropic",
          "model": "illustrative-reviewer-d",
          "policy_version": "synthetic-example-only"
        },
        "verdict": "exceptions_to_review",
        "summary": "The answer does not compare a limited pilot, a staged release, or keeping the original launch date.",
        "findings": [
          {
            "category": "missing_fact",
            "severity": "medium",
            "source_excerpt": "Move the customer launch forward.",
            "analysis": "The answer does not compare a limited pilot, a staged release, or keeping the original launch date.",
            "required_action": "Compare a limited pilot, a staged release and the original launch date before choosing a course.",
            "verification_required": true,
            "gap_class": "evidence",
            "id": "AL-01",
            "lens": "alternatives"
          }
        ]
      }
    ],
    "questions_for_reviewer": [
      "Which launch dependencies are complete, and which still rely on an assumption?",
      "What customer impact would make a staged release preferable to a full launch?",
      "Which costs change if the date moves forward?"
    ],
    "limitations": [
      "Illustrative sample only. The recommendation, findings, reviewer and human responses are fictional. Opening this example calls no models. It is not a customer record or a real attestation.",
      "Source labels, reviewer assignments, policy labels and timestamps are illustrative. They do not describe a live model run or the current model policy.",
      "This sample uses a short fictional submission and does not include private business records.",
      "The findings depend on the facts supplied with the source recommendation."
    ],
    "latency_ms": 0
  },
  "dispositions": [
    {
      "finding_id": "EV-01",
      "decision": "accepted",
      "basis": "System-recorded on selection: Reviewer selected Action required.\nReviewer-added context: Document the launch dependencies and the evidence supporting the proposed date before reconsidering an earlier launch."
    },
    {
      "finding_id": "FD-01",
      "decision": "accepted",
      "basis": "System-recorded on selection: Reviewer selected Action required.\nReviewer-added context: Compare additional support costs with the expected timing benefit, including which team would carry the extra work."
    },
    {
      "finding_id": "RK-01",
      "decision": "accepted",
      "basis": "System-recorded on selection: Reviewer selected Action required.\nReviewer-added context: Document service interruption, privacy and support-backlog scenarios and how the team would respond before reconsidering the date."
    },
    {
      "finding_id": "AL-01",
      "decision": "accepted",
      "basis": "System-recorded on selection: Reviewer selected Action required.\nReviewer-added context: Compare a limited pilot, a staged release and the original launch date before choosing a course."
    }
  ],
  "final_decision": "needs_revision",
  "reviewer": {
    "name": "Fictional launch reviewer",
    "role": "Illustrative human reviewer"
  },
  "completion": {
    "statement": "Reviewer identity and completion are self-asserted and have not been verified.",
    "completed_at": "2026-09-06T12:15:00.000Z",
    "identity_assurance": "unverified_self_assertion"
  },
  "verification_notice": "Unverified draft only. This artifact does not prove Teranode issuance, human attestation, authenticity, or filing.",
  "sample": {
    "kind": "synthetic_example",
    "public_sample_id": "SAMPLE-REVIEW",
    "notice": "Illustrative sample only. The recommendation, findings, reviewer and human responses are fictional. Opening this example calls no models. It is not a customer record or a real attestation.",
    "metadata_notice": "Source labels, reviewer assignments, policy labels and timestamps are illustrative. They do not describe a live model run or the current model policy.",
    "filing_status": "not_filed",
    "next_step": "Keep the proposed earlier launch on hold. Reconsider the recommendation only after the four open gaps are addressed and a person reviews the revised material."
  },
  "source_material": {
    "source": {
      "vendor": "openai",
      "model": "GPT-5.5"
    },
    "question": "Should this fictional team move its customer launch forward?",
    "answer": "Move the customer launch forward at the end of this month. The faster launch should produce earlier revenue. The team can address any remaining issues after launch. Recommended next step: Move the customer launch forward.",
    "context": "Fictional launch-planning example assembled to illustrate the saved public findings. No private records or historical model output are represented."
  },
  "draft_fingerprint": {
    "algorithm": "sha256",
    "canonicalization": "teranode-sorted-json-v1",
    "value": "ac19eadff08707c1be94b40c288cd3ed109bbd3ad8d8648416b6dd23268e818e"
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}