Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The learning effort that determines the probability of passing an imprecise exam can decrease when the exam becomes more precise, and certainly does when the failure probability reaches or approaches zero. If the distribution of the measurement errors that trigger random failure is approximately normal, effort is maximum when precision implies a failure probability of about 16%.