greater than eighty percent confidence of that image was a horse and if so we're going to include that into our pseudo labeled set and then we're going to do the consistency regularization process whereby we enforce that the models predictions on the Augmented version of the data set on the Augmented version of the image becomes close to what we now treat as a true label for that image which means that we are sort of we're allowing it to we're allowing it to learn from from the unlabeled data set in the way I mentioned before which