  We propose an enhanced peer-review process where the reviewers are encouraged
to truthfully disclose their reviews. We start by modelling that process using
a Bayesian model where the uncertainty regarding the quality of the manuscript
is taken into account. After that, we introduce a scoring function to evaluate
the reported reviews. Under mild assumptions, we show that reviewers strictly
maximize their expected scores by telling the truth. We also show how those
scores can be used in order to reach consensus.
