training signal annealing which is you want to prevent overtraining on the label here so you have a label data so you don't want to make sure that you want to make sure that your classifier doesn't over train on it and for that they actually have something like a threshold a procedure where they take the classifier and if it's sufficiently confident they don't train the classifier points and this threshold is actually varied over time so you have an indicator variables of whether the classifiers output logic score is less