claim: While many scientists have acknowledged the mismatch between model predictions and actual temperature observations, few have really challenged the validity of the models themselves.
evidence: Loss functions express the discrepancy between the predictions of the model being trained and the actual problem instances ( for example, in classification, one wants to assign a label to instances, and models are trained to correctly predict the pre-assigned labels of a set of examples ).