The primary metrics of concern for VS are precision, which measures how many predicted positives are actually positive, and "PlatePPV", which reflects the percentage of true positives among the top 128 predictions (a typical small screening plate size) deemed most likely to be positive . This focus on early enrichment, rather than overall accuracy across the entire large VS set, is crucial because the number of compounds that can be screened in follow-up experiments is severely limited . Both models showed exceptional performance on these metrics, suggesting they would be useful for the VS of external libraries. .