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Critical Mass: Structure-Disjoint Splits Drift With the Libraries They Are Built On
Molecular machine learning evaluates out-of-distribution performance with structure disjoint splits, a construction rule fixed once at the scale its library happened to have: threshold a pairwise distance, then assign whole connected components to folds. For predicting structures from mass spectra,
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