{
  "question": "q59",
  "model_1": "Qwen3.8-27B-UD-Q6_K_XL",
  "model_2": "claude-opus-5",
  "answer_a_was": "claude-opus-5",
  "answer_b_was": "Qwen3.8-27B-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": 5947,
    "completion_tokens": 1287,
    "total_tokens": 7234,
    "cost": 0.075775,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 5944,
      "audio_tokens": 0,
      "video_tokens": 0
    },
    "cost_details": {
      "upstream_inference_cost": 0.075775,
      "upstream_inference_prompt_cost": 0.037165,
      "upstream_inference_completions_cost": 0.03861
    },
    "completion_tokens_details": {
      "reasoning_tokens": 1100,
      "image_tokens": 0,
      "audio_tokens": 0
    }
  },
  "eval_prompt_sha256": "7e58b951cb86e4deba3b60fd01e9b9bd247ebe9883e1c9e43b24acffb1fd4667",
  "report": "TIE, FUNCTIONALLY EQUIVALENT.\n\nBasis. Both answers direct Helix to appeal Issues A and B, spend exactly the $150,000 budget, omit Issue C, and preserve the existing $2.1 million judgment. Answer A omits the supporting calculations and legal analysis, but the record does not demonstrate that its reader would take a materially different action or produce a different client outcome.\n\nFailed candidates. Answer A’s omission of review standards and reversal consequences — different conduct failed.\nFailed candidates. Answer A’s omission of expected-value calculations, individual ranking, and budget comparisons — different conduct failed.\nFailed candidates. Answer A’s omission of why reversal probability does not control — different conduct failed.\nFailed candidates. Answer A’s truncated explanation of the recommendation — concrete consequence failed.\n\nHard stop. The sentence cannot be completed with a concrete, record-supported consequence because both answers recommend the same appeal strategy.",
  "judge_reasoning": "",
  "_public_record": {
    "type": "published record",
    "policy": "../../PUBLIC_RECORD_POLICY.md",
    "transformations": [
      "non-substantive machine metadata normalized",
      "published-record annotation added"
    ]
  }
}