Number of scoring functions used: Increasing the number of scoring functions in the consensus does not yield a linear performance increase, with a decrease in performance observed at higher counts. Our data suggests that using four to five scoring functions offers the most reliable performance (Figure ), likely due to increasing disagreement among functions as their number rises. This finding is beneficial from a computational cost and data analysis perspective. However, for some targets, more than five scoring functions provided the best performance. As with our previous observations and recent literature , we recommend adapting the approach to the specific target whenever possible.