Data Science & Analytics
Domain Check
Use ONLY when the user asks to check, validate, review or audit analysis code for scientific correctness, or when you are the reviewer agent running its checks. Never run it unprompted as part of ordinary analysis work. Covers physics, earth/geo, biology, chemistry, social science and bioprocess/fermentation. Runs a deterministic domain-correctness gate that catches code which runs but is scientifically wrong (unit/dimension mismatch, Euclidean distance on lat/lon without a CRS, 0-based/1-based coordinate and strand errors, impossible SMILES valence, uncorrected multiple comparisons, averaging a categorical code, unconstrained kinetic-parameter fits, kLa computed from raw DO instead of the driving force, arithmetic mean of raw CFU counts, ANOVA/Tukey with no assumption check, a curvature DOE design fit with a first-order model, an ML model fit across process scales with no correction). Surfaces structured findings; never claims the code is correct.
- Publisher / source
- ai4s-research/open-science (found on GitHub top repositories)
- Upstream record
- ai4s-research/open-science
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
3d39beb147aee08de0cc2774a2de3031a1e9e19ce31e78f24dbab351ecfed951