Reasoning-Uad-Contradictory-Spec

The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Return JSON only with keys answer, evidence, constraints. One spec says rollout starts when error rate <1%; another says when p95 latency <200ms. Current error is 0.8% and latency is 240ms. State decision uncertainty.

{
  "metrics": {
    "accuracy": {
      "checks": [
        {
          "contains": [
            "0.8%"
          ]
        },
        {
          "contains": [
            "240ms"
          ]
        },
        {
          "contains": [
            "contradictory"
          ]
        }
      ]
    },
    "evidence": {
      "checks": [
        {
          "contains": [
            "error rate"
          ]
        },
        {
          "contains": [
            "latency"
          ]
        },
        {
          "contains": [
            "spec"
          ]
        }
      ]
    },
    "constraint": {
      "checks": [
        {
          "contains": [
            "uncertainty"
          ]
        },
        {
          "contains": [
            "cannot decide"
          ]
        },
        {
          "contains": [
            "clarify precedence"
          ]
        }
      ]
    }
  }
}