{
  "question": "q59",
  "model_1": "Qwen3.5-27B-UD-Q6_K_XL",
  "model_2": "Qwen3.8-27B-UD-Q6_K_XL",
  "answer_a_was": "Qwen3.8-27B-UD-Q6_K_XL",
  "answer_b_was": "Qwen3.5-27B-UD-Q6_K_XL",
  "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": 8000,
    "completion_tokens": 1092,
    "total_tokens": 9092,
    "cost": 0.08275625,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 7997,
      "audio_tokens": 0,
      "video_tokens": 0
    },
    "cost_details": {
      "upstream_inference_cost": 0.08275625,
      "upstream_inference_prompt_cost": 0.04999625,
      "upstream_inference_completions_cost": 0.03276
    },
    "completion_tokens_details": {
      "reasoning_tokens": 893,
      "image_tokens": 0,
      "audio_tokens": 0
    }
  },
  "eval_prompt_sha256": "7e58b951cb86e4deba3b60fd01e9b9bd247ebe9883e1c9e43b24acffb1fd4667",
  "report": "TIE, FUNCTIONALLY EQUIVALENT.\n\nBasis. Both readers would pursue Issues A and B for a combined expected incremental value of $1,092,500 within the $150,000 budget, while omitting negative-value Issue C and preserving the $2.1 million judgment. The answers produce identical material calculations, ranking, and conduct.\n\n[B] rejected: “Post-Conviction Appeal” — record contradicts that label by identifying a commercial technology case.\n[B] rejected: interim $1,870,000 Issue C total — internally inconsistent with the answer’s corrected $1,840,000 total and final −$260,000 incremental value.\nFailed candidate: Incorrect “Post-Conviction Appeal” label — different conduct failed.\nFailed candidate: Interim Issue C calculation — different conduct failed because the answer expressly corrects it before reaching its recommendation.\nHard stop. The sentence cannot be completed because no concrete, record-supported consequence differs between the answers.",
  "judge_reasoning": "",
  "_public_record": {
    "type": "published record",
    "policy": "../../PUBLIC_RECORD_POLICY.md",
    "transformations": [
      "non-substantive machine metadata normalized",
      "published-record annotation added"
    ]
  }
}