For the QM9 dataset, EGNN-DER achieved a mean absolute error (MAE) of 0.578 bohr² to predict electronic spatial extent. While aleatoric factors dominated the total uncertainty, the predictions were initially underconfident. Isotonic regression emerged as the most effective posthoc calibration technique, reducing miscalibration to near-zero levels and aligning predicted uncertainties with actual errors.