While the evaluation measure, Pearson correlation, does not take into account the shape of the output distribution, Figure 1 shows that this information may be a useful indicator of model quality and behaviour.
the role of the regression component in our approach is to learn a transformation from the output distributions of the models to the distribution of the training data gold standard.