  In this paper and demo we present a crowd and crowd+AI based system, called
CrowdRev, supporting the screening phase of literature reviews and achieving
the same quality as author classification at a fraction of the cost, and
near-instantly. CrowdRev makes it easy for authors to leverage the crowd, and
ensures that no money is wasted even in the face of difficult papers or
criteria: if the system detects that the task is too hard for the crowd, it
just gives up trying (for that paper, or for that criteria, or altogether),
without wasting money and never compromising on quality.
