3. The method of claim 2 , wherein the measure of expected change is generated by computing a product of the weighted coefficient value and one of: (i) an average of the plurality of supporting evidence feature score values in the second ML model, (ii) a maximum value of the plurality of supporting evidence feature score values, and (iii) a selected one of the plurality of supporting evidence feature score values that is greater than a threshold percentage of the plurality of supporting evidence feature score values.
4. The method of claim 3 , wherein the first threshold comprises at least one of: (i) a difference between a confidence score value of a second candidate answer and the first confidence score value of the first candidate answer, wherein the confidence score value of the second candidate answer is generated by applying the first ML model to the second candidate answer, (ii) a difference between a confidence score threshold for a first confidence tier of a plurality of confidence tiers and the first confidence score value, and (iii) a difference between the first confidence score value and a minimum confidence score value, wherein the minimum confidence score value is associated with a minimum confidence tier of the plurality of confidence tiers.