PhysDox (Chain-of-Thought): 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) with chain-of-thought prompting; 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; chain-of-thought prompting, temperature 0.1, JSON output with retries; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 6 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.749.3#79
2DeepSeek V4 Flash47#258
3MiMo-V2.545#354
4MiMo-V2.5-Pro44.2#279
5DeepSeek V4 Pro43.4#188
6GPT-5.537.7#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-chain-of-thought · How It Works · Data refreshed daily, snapshot 2026-11-13.