Each component of the hardness module (i.e., EXT_CHEM, EXT_PROT, and INT_CHEM) captures a distinct facet of task hardness and contains some independent information. Therefore, combining these components is expected to lead to a more accurate measure of hardness, where "accuracy" is defined in terms of its inverse correlation with the result or performance of the meta-learning (prototypical network).