1. A method for enhancing automated deep question and answering comprising: receiving by a computer from a deep question-answer computing system at least one potential answer to a user-supplied clue or user-supplied question with a confidence factor associated with each received potential answer, wherein the confidence factor comprises an estimated likelihood of correctness according to semantic analysis exclusive of a rank based on feature or keyword count; comparing by a computer each confidence factor to a threshold; responsive to a confidence factor not meeting the threshold, automatically performing by a computer a crowd sourcing operation on the user-supplied clue or user-supplied question to yield a crowd-sourced enhancement to the clue or question; supplying by a computer the crowd-sourced enhancement to the deep question-answer computing system; responsive to receiving by a computer an enhanced potential answer and associated enhanced confidence factor from the deep question-answer computing system, repeating the comparing; and responsive to an enhanced potential answer and associated enhanced confidence factor meeting the threshold, providing to a user the enhanced potential answer via a user interface portion of a computer system.