There are appreciable similarities between the analytic processes of the established DL algorithm and human inspection. The accuracy decrease from 98.5% to 92.0% when the v values were not included as input in the DL model (Fig. and) is consistent with manual inspection, when more definitive mechanism assignment is feasible when the explicit v values are included in the analysis. Indeed, the exclusion of v values as model input deteriorates the model's accuracies mostly by misassigning Er as ErCr and misassigning ErCr as DISP1 (increasing from 0% chance to 17% and from 2% to 11%, respectively, from Fig. to Fig. ). These misassignments are common when v information is missing in manual analysis, owing to the gradual transition of cyclic voltammograms between Er and ErCr in the kinetic zone diagrams as well as the similarity between the one-electron ErCi and two-electron DISP1 processes. The ResNet-based model's dependence of prediction accuracies on n (Fig. ) is understandable yet informative. It is common in qualitative mechanistic studies to obtain cyclic voltammograms under multiple v values (i.e. n > 1) and compare the voltammograms' evolution. Yet in practice the number of v values needed for mechanism determination seems ill-defined. What the DL model suggests is that statistically in most scenarios two cyclic voltammograms of different v values will suffice and there are diminishing returns of prediction accuracy when n ≥ 2 within the parameter space defined in our training set of simulated voltammograms. When n = 2, we derived the corresponding mathematical requirements for the two v values to be satisfied in the training data set hence empirically offer good accuracy of mechanistic prediction from our DL model (See in Supplementary Information).