Dataset composition, generalization, experimental validation, and the interpretation of measurements.
Dataset composition, generalization, experimental validation, and the interpretation of measurements.
Dataset resources, composition, clustering, taxonomic bias, negative examples, synthetic data, and coverage.
52 items with this tag.
Whether computational design scores, refolding tests, or rankings predict useful experimental outcomes; includes appropriate prospective and baseline comparisons.
48 items with this tag.
Memorization, leakage, out-of-distribution performance, shortcuts, robustness, and when apparent progress does not transfer.
49 items with this tag.
Assay definitions, reproducibility, experimental artifacts, structural evidence, and interpretation of evaluation statistics.
39 items with this tag.