This tendency is expected, because ignoring confidence scores of preordering candidates implies treating all preordering candidates with the same importance, and the decoder have finally chosen the hypothesis with accidentally high scores by other features.
introducing preordering confidence into decoding features is effective to prevent these kind of errors and guarantee translation accuracies.