{
  "question": "q79",
  "model_1": "DeepSeek-V4-Flash-0731-UD-IQ4_XS",
  "model_2": "claude-opus-5",
  "answer_a_was": "claude-opus-5",
  "answer_b_was": "DeepSeek-V4-Flash-0731-UD-IQ4_XS",
  "verdict_code": "TIE",
  "winner": "TIE",
  "judge_model": "openai/gpt-5.6-sol",
  "server_model": "openai/gpt-5.6-sol",
  "provider": "OpenAI",
  "finish_reason": "stop",
  "usage": {
    "prompt_tokens": 4691,
    "completion_tokens": 1244,
    "total_tokens": 5935,
    "cost": 0.066635,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 4688,
      "audio_tokens": 0,
      "video_tokens": 0
    },
    "cost_details": {
      "upstream_inference_cost": 0.066635,
      "upstream_inference_prompt_cost": 0.029315,
      "upstream_inference_completions_cost": 0.03732
    },
    "completion_tokens_details": {
      "reasoning_tokens": 1034,
      "image_tokens": 0,
      "audio_tokens": 0
    }
  },
  "eval_prompt_sha256": "7e58b951cb86e4deba3b60fd01e9b9bd247ebe9883e1c9e43b24acffb1fd4667",
  "provenance_date": "2026-08-09",
  "report": "TIE, FUNCTIONALLY EQUIVALENT.\n\nBasis. Both answers place NovaTag on the same materially correct path: constructive notice began July 1, 2022, producing a 42-month, 84,000-unit window and $1,512,000 royalty. Both also correctly calculate $1,260,000 using the erroneous February 1, 2023 start, a $252,000 loss, and $144,000 unrecoverable for March–June 2022.\n\n[A] rejected: “The email fails all three elements” — internally inconsistent with its table showing that Model K was identified.\n\nFailed candidate: Answer A’s incorrect count of failed actual-notice elements — Different conduct failed.\nFailed candidate: Answer A’s additional authentication and litigation-position advice — Concrete consequence failed.\nFailed candidate: Answer A’s theoretical-maximum exposure table — Different conduct failed.\n\nHard stop. The sentence cannot be completed with a concrete, record-supported consequence because both answers prescribe the same damages position and calculations.",
  "judge_reasoning": "",
  "_public_record": {
    "type": "published record",
    "policy": "../../PUBLIC_RECORD_POLICY.md",
    "transformations": [
      "non-substantive machine metadata normalized",
      "published-record annotation added"
    ],
    "retained": [
      "substantive report",
      "verdict code",
      "winner mapping",
      "A/B assignment",
      "model and judge identifiers",
      "finish reason",
      "token counts",
      "provenance date"
    ]
  }
}