RMG represents one of the few computational packages with sufficient chemical coverage and throughput to enable a systematic study of diverse chemical mechanisms. However, it is important to note that RMG was not explicitly developed to predict polymer degradation. By using RMG to generate small molecule half-life data, we deliberately created a dataset that offers greater chemical diversity than our alkane dataset, although potentially with less consistent accuracy in relative rates due to missing reactions. Thus, this case study directly assesses whether increased chemical diversity compensates for the potential inconsistencies in kinetic parameters when transferring predictions from small molecules to polymers.