Finally, we explored the potential synergies from combining the predictions of AWESOM and FAME 3R using logical OR and AND operations. We expected that the former would increase recall at the expense of precision, while the latter would improve precision but reduce recall. However, it was not clear in advance whether either approach would improve the overall balanced performance, as measured by MCC and AUROC. As shown in Table , experimental results aligned with our expectations regarding precision and recall. However, the overall balanced performance did not improve compared to the individual models. Since the models use different binary decision thresholds (0.5 for AWESOM and 0.3 for FAME 3R), we were limited to applying the ensembling strategy to the binary outputs, which prevented the computation of the TOP-2 metric. Randomly selected examples of predictions made by AWESOM and FAME 3R can be found in the Supporting Information, section S.7.