Indeed, through experimental results, it was shown that entropy of the topic distribution is lower and average LLPW of true documents is higher for true documents and the former measure was found to be more effective.
the poor performance of this method on out-of-domain data suggests that we need to use a much larger training corpus to build a robust fake document detector.