- Corpus size: 150 labeled failures
- Overall accuracy: 90.7%
- Safety false-positive rate (real defect hidden as flaky/environment): 0.0% (0 cases) — target ~0%
- Noise false-alarm rate (flaky/environment re-escalated as defect): 12.0% (12 cases)
- Routing: 52 resolved by the deterministic scorer, 98 escalated to the grounded classifier, 52 routed to the human-review gate
| actual \ predicted | real_defect | flaky | environment |
|---|---|---|---|
| real_defect | 50 | 0 | 0 |
| flaky | 12 | 43 | 0 |
| environment | 0 | 2 | 43 |
Generated by python eval/harness.py --report eval/report.md. Backend: offline rule-based classifier (deterministic, no API key). With ANTHROPIC_API_KEY set, the grounded Claude classifier handles the ambiguous band.