For both uncertainty estimation strategies, DeepCocrystal's performance consistently increases when using stricter thresholds (up to 10% improvement across metrics), with a progressively smaller number of predicted pairs (Table ). Both approaches have their merits and drawbacks. Standard deviation outperforms majority voting in classification performance (up to 2% improvement), at the expanses of the number of predicted molecular pairs (57 fewer pairs).