Interestingly, the fastprop and chemprop predictions are highly correlated, with a Pearson's R = 0.86 (Figure ). This correlation is actually stronger than the correlation of either model predictions to the dataset (0.66 for fastprop and 0.65 for chemprop). Additionally, comparing the cumulative distribution function (CDF) of predicted gradients of log S with respect to temperature demonstrates the strong correlation between the fastprop and chemprop model predictions (Figure ). We obsereve that the Vermiere model has severe systematic error in d log S dT , achieving an Earth Mover's Distance (EMD) of 0.06. In contrast, our two models exhibit similar and highly accurate gradient distributions, with EMD of 0.03 and 0.02.