Reasoning-Uad-Unit-Confusion

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. A report says a process used 512 memory, but one source reports MiB and another MB. State what can and cannot be concluded.

{
  "metrics": {
    "accuracy": {
      "checks": [
        {
          "contains": [
            "MiB"
          ]
        },
        {
          "contains": [
            "MB"
          ]
        },
        {
          "contains": [
            "cannot conclude"
          ]
        }
      ]
    },
    "evidence": {
      "checks": [
        {
          "contains": [
            "512"
          ]
        },
        {
          "contains": [
            "unit"
          ]
        },
        {
          "contains": [
            "memory"
          ]
        }
      ]
    },
    "constraint": {
      "checks": [
        {
          "contains": [
            "uncertainty"
          ]
        },
        {
          "contains": [
            "ambiguity"
          ]
        },
        {
          "contains": [
            "conversion"
          ]
        }
      ]
    }
  }
}