{
  "phase": 1,
  "status": "quality_decision_frozen_pending_external_identity_release",
  "frozen_at_utc": "2026-10-25T14:43:41.751705+00:00",
  "independent_scores_frozen_at_utc": "2026-10-25T14:40:05.238744+00:00",
  "rank_order": [
    "B",
    "A",
    "C"
  ],
  "selected_submission": "B",
  "runner_up": "A",
  "scores_out_of_100": {
    "A": 80.63636363636364,
    "B": 94.27272727272727,
    "C": 73.81818181818181
  },
  "quality_rationale": "B offers the strongest combination of faithful sources, worked scoring/statistical examples, precise usage accounting and agent recovery, with coherent coverage. A is dependable and complete but less worked through and needs citation repairs. C offers valuable schemas, formulas and research breadth, with more substantive qualifications and a material cost/publication hold.",
  "publication_status": {
    "A": "Requires citation and ordinary substantive editing plus final editorial approval; no frozen-rubric blocker established.",
    "B": "No publication blocker found in checked claims; still requires final editorial approval and source refresh.",
    "C": "Hold the cost article pending billing/category and price-condition repair; complete the other substantive edits before approving the cluster."
  },
  "publication_blockers": [
    {
      "cluster": "C",
      "article_file": "C/articles/latency-token-usage-and-cost.md",
      "claim_id": "C-ai-eval-08-03",
      "line": 44,
      "reason": "Article defines output as visible text, then uses output alone in billing formula. Billed output includes reasoning, so following the visible-only definition undercounts.",
      "required_repair": "Define billed output including reasoning/formatting, or sum disjoint categories once.",
      "sources": [
        {
          "source_id": "reason",
          "title": "Reasoning models",
          "url": "https://developers.openai.com/api/docs/guides/reasoning",
          "inspected_location": "Reasoning effort; How reasoning works; Allocating space for reasoning"
        }
      ]
    },
    {
      "cluster": "C",
      "article_file": "C/articles/latency-token-usage-and-cost.md",
      "type": "material_price_condition",
      "reason": "Haiku 5.5 input/output prices are shown without the >100K prompt bracket; that bracket changes rates fivefold. Correct before publishing the price table.",
      "source_url": "https://claude.com/pricing",
      "related_claim_id": "C-ai-eval-08-07"
    }
  ],
  "fabricated_evidence_finding": "No fabricated citation or empirical result established. All named sources were located. A wrong author label and C’s inaccurate release-window label are bibliographic/snapshot errors; hypothetical calculations are not measured findings.",
  "ties_and_uncertainty": {
    "aggregate_tie": false,
    "question_level_ties": [
      "A/B task design",
      "A/C agent evaluation",
      "B/C public evidence"
    ],
    "reverse_order_change": false,
    "confidence": "Clear preference for B among these submissions; exact point gaps depend on one judge’s anchors. A/C ordering is less secure because C’s valuable assets could improve substantially with technical editing.",
    "sensitivity": "A one-anchor reduction across all B accuracy article scores subtracts 5 points, leaving B at 89.27, above A at 80.64. This is a transparent judgement sensitivity example, not a confidence interval or altered official score."
  },
  "independence": {
    "producer_identities_sought_or_inferred": false,
    "efficiency_or_usage_analysis": false,
    "delegation_or_other_models": false,
    "coordinator_or_history_access": false,
    "candidate_files_edited": false,
    "publication_performed": false
  },
  "pilot_limits": [
    "One run/submission per candidate and one judge do not establish general model superiority.",
    "The eleven articles are correlated outputs from a submission, not eleven independent runs.",
    "Reverse order is an internal bias check, not a second judge or six independent evaluations.",
    "Blinding is an attempt: content style and cited products can contain clues. No identity was guessed."
  ],
  "verification_limitations": [
    "No archived provider documentation/pricing snapshot from 22 or 25 October was independently obtained; today’s live pages corroborate or qualify the submitted claims, without proving historical unchangedness.",
    "No underlying benchmark experiment, closed training-data audit, account-specific availability or invoice/billing reconciliation was performed.",
    "General process advice, privacy/legal implications, every uncited rhetorical assertion and every possible failure case were not exhaustively fact-checked.",
    "Selected paper passages/abstracts were read to verify their used claims; entire referenced literature was not reproduced or audited.",
    "Tool retrieval of a SQuAD script failed and was not used as evidence. F1 critique follows the checked precision/recall definition and an explicit counterexample.",
    "No fabricated citation or empirical result was established; wrong authors, version labels, unsupported guidance and hypothetical arithmetic are distinguished."
  ],
  "completion_marker_is_independent_acceptance": false,
  "await_next_step": "Stop after phase 1; await a separate coordinator release of identities and efficiency. No unblinding or publication is authorised here."
}