PhysDox (Tool-Augmented): leaderboard

PhysDox (2026) tests whether LLMs can audit biomedical physiological-sensing protocols for physical feasibility on a 683-protocol expert-curated Gold set spanning six sensing domains. This board is the severity-detection macro-F1 (0-100) when the prompt carries a deterministic rule-check report on computable hardware and physical constraints; higher is better.

Metric: Stage-1 severity-detection macro-F1 (0-100) on the 683-protocol expert-curated Gold set of biomedical physiological-sensing protocols (six domains): classify each protocol as valid, minor issue or fatal physical-feasibility violation; tool augmentation: the prompt appends a deterministic rule-check report on computable hardware and physical constraints, temperature 0.1; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 6 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.752.6#79
2DeepSeek V4 Flash48.9#258
3MiMo-V2.547.4#354
4DeepSeek V4 Pro42.9#188
5MiMo-V2.5-Pro42.7#279
6GPT-5.536.9#49

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=physdox-tool-augmented · How It Works · Data refreshed daily, snapshot 2026-11-13.