Consequently, if x is either far away from S (i.e., x is not in the manifold of S) or near the classification boundary, we will get a small e(x, S) indicating a low confidence to the corresponding prediction.
if x is much closer to a specific category of S than other categories, the classifier will get a higher confidence.