To test the robustness of the KMC predictions, we use the "bootstrap KMC" method as described in Sec. II I. These "bootstrap KMC" results can be quite differ-FIG. . Prediction of the "6 KMC model for the six species of interest at different temperatures. The "baseline KMC" values employ the most likely values for the extrapolation of the rates, while the "bootstrap KMC" values employ rates that are resampled at each temperature from the distribution of the extrapolation. Comparing between these two approaches allow us to estimate the robustness of the predictions: when the 90% CIP of the "bootstrap KMC" becomes too different from its value within the temperature training range the predictions are less robust. In this case, the predictions can be considered as robust from 2,800 K to 4,000 K.