While this model slightly outperforms the earlier models in predicting CHX polymer stabilities, this improvement is primarily due to the inclusion of Cl and F degradation reaction templates via RMG, which were absent in previous models (e.g., ALFABET, which was trained only on CHON data). However, the plateau in performance after two iterations, poorer results on CH polymer predictions, and below-random performance for iteration 0 (trained solely on alkane data, where the earlier alkane model performed better than random) underscore the sensitivity of translating small-molecule kinetics to polymers. This sensitivity arises from error propagation in kinetic parameters, even with a more extensive reaction template corpus.