Figure shows the miscalibration curve, where the observed proportions closely match the predicted proportions, as indicated by the near-perfect alignment with the diagonal line. The MACE is remarkably low at 0.01, demonstrating that ISR effectively aligns the predicted uncertainty intervals with the actual prediction errors. Figure presents the adversarial group calibration, highlighting the calibration error of the worst-performing group as a function of group size. The calibration error diminishes significantly for larger groups, with near-zero errors for group sizes above 0.1. This analysis indicates that ISR not only provides accurate global calibration but also performs well under adversarial group calibration, ensuring robustness across different subsets of the dataset. Additionally, standard scaling and GPNormal calibration methods exhibit similar behavior, effectively aligning predicted uncertainties with observed errors. However, due to the significant underconfidence in the initial predictions, the scaling factor determined for standard scaling is relatively low at 0.208. A similar trend is observed for the force norm (bottom-right panels, Figure ). Uncalibrated predictions exhibit large deviations from true values, particularly in regions with very high uncertainty, such as interpolation points. ISR calibration narrows these uncertainty intervals and enhances the agreement between predicted and true force norms. Notably, calibrated uncertainties remain consistent across all regions, including the challenging cis and intermediate points.