Reason-Unc-Network-Flakiness

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 test passes 90% of the time in CI. The reason for the 10% failures is unknown. What uncertainty exists and what should be investigated to diagnose the flakiness?

{
  "metrics": {
    "accuracy": {
      "checks": [
        {
          "contains": [
            "flaky"
          ]
        },
        {
          "contains": [
            "investigate"
          ]
        },
        {
          "contains": [
            "non-deterministic"
          ]
        }
      ]
    },
    "evidence": {
      "checks": [
        {
          "contains": [
            "90%"
          ]
        },
        {
          "contains": [
            "unknown"
          ]
        },
        {
          "contains": [
            "CI"
          ]
        }
      ]
    },
    "constraint": {
      "checks": [
        {
          "contains": [
            "root cause"
          ]
        },
        {
          "contains": [
            "timing"
          ]
        },
        {
          "contains": [
            "environment"
          ]
        }
      ]
    }
  }
}