ent from the results of the KMC simulations where all the rates are taken as the most likely extrapolated rates (here, we will call this the "baseline KMC"). In Fig. , the equilibrium value of the six species of interest are shown as predicted at different temperatures by either the "baseline KMC" or the "bootstrap KMC" method. When the 90% CIP between the 100 KMC simulations becomes too different between the temperature training range and the test temperature values, the predictions of the "baseline KMC" should be considered as not robust and, thus, less reliable. For example, in Fig. , using the criterion V (T ) < 2 the predictions under 2,800 K and above 4,000 K should be considered as less reliable. Indeed, around these temperatures, the mean 90% CIP of the equilibrium value in "bootstrap KMC" for the test temperatures starts to be much more than the one of the training range. At 4,500 K the predictions were accurate, as shown in Fig. , but are not robust, i.e., the most likely prediction is accurate but it is sensitive to small variations in the rate extrapolation. For example, a different training set could result in much less accurate predictions at this temperature. In comparison, the predictions at 4,000 K are accurate and robust.