+expertBonus = 1000,
+
+-- === Parameters for the random-instance generator ===
+
+-- Number of topics.
+numTopics = 20,
+
+-- Exponent of the Zipf distribution used to choose topics for each proposal.
+topicZipfExponent = -0.5,
+
+-- === Parameters for the matching evaluator ===
+
+-- The weights given to the best, ..., worst review of a proposal in evaluating
+-- its "unhappiness". Default is [reviewsEachProposal, ..., 1] since it's most
+-- important for the best review to be good.
+reviewEvalWeights = let rep = reviewsEachProposal pmDefaults in
+ map widenInteger [rep, rep-1 .. 1]