Stability score predictions for the alkane model approach 90-95% accuracy within domain, which is likely near the irreducible error for this task considering experimental uncertainties in these measurements (Fig. ). This demonstrates remarkable transferability from small molecule training data to experimental polymer measurements. Notably, the model exhibits surprisingly strong performance for non-alkane polymers, suggesting better mechanistic carryover across chemical classes than would be anticipated from repeat unit chemistry alone. Furthermore, we observe relatively consistent prediction performance across different degradation temperature metrics (T p , T d , and T p + T d )/2), which both increases confidence in these results and indicates that these different metrics can be usefully combined when independently reported across different studies.