The number of positive classifications each classifier makes on the unlabeled data set is recorded and averaged and this average is taken as the threshold that none of the expert's classifiers must cross.
any classifier that classifies more unlabeled data points as positive than the threshold established for the expert to which this classifier belongs needs to be discarded.