Evaluation metrics for each inferred property with and without a sharp Gaussian prior on a different property, with standard deviation corresponding to a 10% uncertainty. In each case, we report the mean absolute errors (MAE), indicative of overall biases, the root mean squared error (RMSE) indicative of the tool's accuracy, and the mean standard deviation of the inferred posteriors (σ, indicative of the tool's precision). The size of the markers is proportional to σ.