The quality of the linear fit is also higher for the LS-GCN 150k uncertainty estimates (R 2 = 0.85) but now with a slope almost twice as steep as the ideal. For the low uncertainties we see that the corresponding error is generally lower than expected from the uncertainty estimates; these uncertainties are overestimated. For the high uncertainties, we observe errors higher than what is expected from the uncertainty estimates; these errors are underestimated. This behavior of the uncertainty estimates is also apparent when comparing ρ rank with ρ sim rank . Unlike all other uncertainty estimates we have seen so far, the LS-GCN 150k uncertainties have a higher observed ρ rank than its simulated ρ sim rank . As discussed for the RF uncertainties above, a predicted uncertainty distribution that is wider than what is supported by the observed errors, will result in a simulated Spearman's rank correlation coefficient that is higher than the observed one. Similarly, a predicted uncertainty distribution that is more narrow than what fits the observed errors (as is the case here) would lead to a simulated Spearman's rank correlation coefficient that is lower than the observed one.