The paper is organized as follows: in Sec. II, the full methodology to construct the kinetic model and extrapolate in temperature is detailed. In particular, we use an atomic-level description of reactions developed in our previous work that was shown to condense the information in fewer reactions, predict more accurately the evolution of longer carbon chains and be able to predict the creation of molecules not observed in the atomistic simulation used for training. The temperature extrapolation was performed with an Arrhenius or a zero-barrier model. The general method is shown in Fig. . In Sec. III A, we demonstrate that our model can accurately predict the evolution of short and long molecules at higher temperatures than the training range. The model is also shown to make accurate predictions on systems starting with different molecules than the training data. In Sec. III B, a thorough analysis of the rate coefficient extrapolation is performed to demonstrate the accuracy of the method. In Sec. III C, our model is extrapolated to lower temperatures and the "bootstrap KMC" method is introduced to show how far from the training range robust predictions can be made. In addition, the effect of increasing the size of the training data on the robustness of the predictions is studied. In Sec. III D, we show that microsecond timescales can easily be achieved with this methodology. Finally, in Sec. IV, our model is compared to experimental data and we show that it can bring some insights to explain experimental results.