1. A method to provide selective supporting evidence, comprising: applying a first machine learning (ML) model to a first candidate answer to generate a first confidence score that does not consider supporting evidence for the first candidate answer; determining, from a second ML model, an expected contribution of processing supporting evidence for the first candidate answer; and upon determining that the expected contribution does not exceed a specified threshold, skipping supporting evidence processing for the first candidate answer.