In Fig. , we identify the single PC with the highest correlation to each one of the potential bridge variables and illustrate the value of that maximal correlation. We note that although there is a comparatively low Silhouette score in one dimension indicating that the score in two dimensions is a more appropriate quantification of ordering in the system, we may use it to indicate which PC the models consider "most" relevant for verified-AMP ordering, and thus identify whether those PC's simultaneously correlate with physicochemical properties. For example, The 32-dimensional AAE, 64-dimensional WAE, RNN, Transformer and 128-dimensional AAE and RNN models employ one of the top 5 PC's most strongly for AMP ordering (Fig. ), and the same PC is also correlated with Charge pH=7 (Fig. ) and Isoelectric Point (Fig. ) for this model (Fig. ).