This trend is consistent across all predictive dimensions and the model is probably benefiting from the larger initial dataset on which it was trained, since it provided a richer learning environment for the model to become more 'protocol-agnostic'. Its precision is especially notable in predicting the voltage drop and CE estimations, closely following the ground-truth despite the substantial experimental noise.