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README: first -llm-judge results - #20
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🟢 Approval recommended
The documented figures are consistent with the CSV data and configured scoring weights.
0 open findings
What changed in this PR
Publishes the first six -llm-judge evaluation results and summarizes their methodology and outcomes.
Changes:
- Adds per-task scores, token usage, and costs.
- Documents aggregate results and key observations.
| File | Description |
|---|---|
README.md |
Summarizes results and updates project status. |
research/results/llm-judge-2026-10-13.csv |
Records per-trial evaluation data. |
🧠 Review effort: Balanced
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Custom Code ReviewNo issues found on What the change does
codex-ci · gpt-6-luna · effort high · Codex 0.161.0 |
The six
-llm-judgetasks, one trial each on 2026-10-13 (team and judge both Codex on gpt-6-luna, medium): per-scale 1-5 scores and the weighted reward, mean 0.41 at $0.24 per task. Per-trial CSV inresearch/results/llm-judge-2026-10-13.csv. Notes that these are new team runs, not the reviews the recall grader scored.