{
  "question": "q61",
  "model_1": "Qwen3.5-27B-UD-Q6_K_XL",
  "model_2": "Qwen3.8-27B-UD-Q6_K_XL",
  "answer_a_was": "Qwen3.5-27B-UD-Q6_K_XL",
  "answer_b_was": "Qwen3.8-27B-UD-Q6_K_XL",
  "verdict_code": "B",
  "winner": "Qwen3.8-27B-UD-Q6_K_XL",
  "judge_model": "openai/gpt-5.6-sol",
  "server_model": "openai/gpt-5.6-sol",
  "provider": "OpenAI",
  "finish_reason": "stop",
  "usage": {
    "prompt_tokens": 13030,
    "completion_tokens": 3661,
    "total_tokens": 16691,
    "cost": 0.19126375,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
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    "cost_details": {
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  "eval_prompt_sha256": "7e58b951cb86e4deba3b60fd01e9b9bd247ebe9883e1c9e43b24acffb1fd4667",
  "report": "ANSWER B IS MATERIALLY BETTER.\n\nBasis. Answer A advises disabling only Mosaic’s recommendation while allowing its automated narrative assessments to continue pending compliance, even though those assessments remain covered evaluative outputs and no employer-specific audit exists. Answer B instead directs Cinder Peak to stop all evaluative functions until the required audit and notice are complete, preventing additional noncompliant uses and possible per-applicant exposure after the cure period.\n\nExact difference. Answer A states that suppressing “advance/do not advance” recommendations “removes the argument that it ‘materially influences’ advancement”; Answer B requires disabling both recommendations and automated assessments.\nDifferent conduct. Under A, Cinder Peak may continue using Mosaic’s automated narrative evaluations while arranging the audit; under B, it pauses all evaluative use until compliance.\nConcrete consequence. A permits additional applicants to undergo covered automated evaluation without the required employer-specific audit, leaving Cinder Peak’s violation ongoing and creating per-applicant penalty exposure if that use continues beyond day 30; B prevents those additional noncompliant uses.\nRecord support. Mosaic evaluates applicant characteristics through narratives, the definition covers a recommendation “or other output,” the audit is required before use, Cinder Peak lacks that audit, and continued post-cure use may be penalized per affected applicant.\nMaterial magnitude. The difference concerns statutory compliance for an active screening process previously used on 3,200 applicants, with potential exposure measured per affected applicant.\nLikelihood. A rational reader following A could suppress the binary recommendation yet continue receiving narrative assessments because A expressly describes that modification as removing material influence; B expressly prohibits that conduct.\nNo safe neutralization by ordinary verification. Rejecting A’s recommendation-only theory does not itself supply the omitted instruction to disable content analysis and narrative assessments; reaching B’s safe configuration requires re-deriving which remaining functions are covered.\n\n[A] rejected: memorandum date “October 26, 2023” — record lacks any calendar date beyond the cure letter being sent “today.”\n\nFailed candidates. Difference in the framing of Cinder Peak’s strongest argument — different conduct failed.\nFailed candidates. B’s discussion that the original pre-use audit failure may not be retroactively curable — concrete consequence failed.\nFailed candidates. Differences in recruiter-training recommendations — different conduct failed because both direct Cinder Peak away from reliance on Mosaic recommendations.\nFailed candidates. Differences in discussion of narrow penalty construction — different conduct failed.\n\nHard stop. Because Answer A said suppressing only Mosaic’s recommendation removes material influence, the reader would likely continue using Mosaic’s automated narrative assessments instead of pausing all evaluative functions until the employer-specific audit is complete, causing Cinder Peak to accumulate additional noncompliant uses and potential per-applicant exposure after the cure period.",
  "judge_reasoning": "",
  "_public_record": {
    "type": "published record",
    "policy": "../../PUBLIC_RECORD_POLICY.md",
    "transformations": [
      "non-substantive machine metadata normalized",
      "published-record annotation added"
    ]
  }
}