New tool detects if ML models cheat by reading bibliographic metadata

A CLI tool called materials-confounding-check tests whether materials science ML models rely on bibliographic metadata (author, journal, year) instead of chemical features. It runs four falsification tests and outputs a low/medium/high risk score. The tool addresses a known problem where models appear accurate but fail in practice due to spurious correlations.