sensitivity analysis is performed at 4,000 K as described in Sec. II J. The results of this sensitivity analysis are shown in Fig. along with the 95% CI of the extrapolation to 4,000 K and the factors between the extrapolated rates and the measured rates. This figure gives an important insight on the reason why the temperature extrapolation is possible. Generally, the more sensitive reactions are the ones with the smallest CI and, hence, were the ones with the most accurate extrapolated rates. Therefore, the rates of sensitive reactions are well extrapolated, which results in reliable KMC predictions. Inversely, the reactions with large CI have little influence on the evolution of the KMC trajectories. These observations can be expected: reactions that have a higher sensitivity tend to be the reactions that occur the most, when a reaction occurs a lot the CI of the estimation of the rate decreases (see Eq. 2) and so the CI of the extrapolated rate. Note, however, that certain exceptions exist (fig. ) where some reactions can have large sensitivity and a large CI. When extrapolating the temperature further from the training range the CI increases for reactions following an Arrhenius model, which results in several sensitive rates mispredicted. This is the reason why KMC predictions become less reliable when the temperature is extrapolated further from the training range.