where CIP T,n Bootstrap is the size of the 90% CIP for the "bootstrap KMC" at temperature T for the species of interest n, Mean(CIP 3100..3600,n Bootstrap, 6 MD ) is the average on the training temperature range of the size of the 90% CIP of the prediction for the "bootstrap KMC" at temperature T for the species of interest n. The statistics V is a measure of how large the mean of the 90% CIP of all the species of interest is compared with the average of its size in the temperature training range. The denominator is always taken for the "6 MD" case to keep the same reference, even when will be increasing the number of training data (see Sec. III C). The denominator is computed for the "bootstrap KMC" case and not for the "baseline KMC" case as the 90% CIP represents two different things in these two cases: the 90% CIP of the "baseline KMC" represents how variable the predictions of the KMC are when the rates are taken to be the same, so it measures the intrinsic variability of the KMC algorithm. On the other hand, the "bootstrap KMC" measures how variable the predictions are when the rates are changed by a small amount, hence, it measures the variability due to the uncertainty of the rates. As a criterion of robustness, predictions will be considered as robust when V (T ) < 2.