Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We assign a probabilistic evaluation to a firm as a measure, in the form of a probability distribution over [0,1], of the quality of the firm’s products. When two firms compete to develop a new product, a prospective investor can use the two evaluations to determine which firm is likely to produce a better product. Probabilistic evaluations are shown to generate all binary relations on countable sets.