you apply Cayetano data augmentation to you B which is the only with a point and you compute the average predictions across all the augmentations of UB in practice they just use cake with a 2 but it can be really large if you want it to be and you apply temperature sharpening which is soft max temperature to make sure that the average predictions are picky enough and after the peaks are obtained you can take the our Max and get the corresponding classifier corresponding data point for proxy data point for the classifier so you Ottoman