Where one study disagrees with what other studies report for the same models, and what we are doing to resolve each case.
These are automatic leads, not findings of error. Each release, a check compares how every study ranks the models it shares with other studies. It flags a study that reverses the order the others agree on, or whose gap to a shared reference model lies well outside theirs. Different tasks, populations or metrics often explain a flag.
A flag never hides a result. Flagged results stay in every table, page and download, marked Contested. A result is withheld only when a reviewer marks it disputed.
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants ranks HyenaDNA above Borzoi in 3 of 4 comparisons; TraitGym official metrics: AUPRC by chromosome, weighted average (Hugging Face dataset songlab/TraitGym) ranks Borzoi above HyenaDNA in 2 of 2 comparisons. No other study gives a verdict, so neither is the outlier.
2 papers rank Borzoi above HyenaDNA in 3 of their 6 comparisons and HyenaDNA higher in 3. Of those papers, Comparative Analysis of Deep Learning… ranks HyenaDNA higher on its own (3 of 4).
GUANinE v1.1 reveals complementarity of supervised and genomic language models ranks Borzoi above Sei in 6 of 6 comparisons; Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants ranks Sei above Borzoi in 4 of 4 comparisons. No other study gives a verdict, so neither is the outlier.
2 papers rank Borzoi above Sei in 6 of their 11 comparisons and Sei higher in 4; 1 is a tie. Of those papers, Comparative Analysis of Deep Learning… ranks Sei higher on its own (4 of 4).