Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper shows that in finite samples it is not possible to distinguish all the latent factors from the idiosyncratic noise and that this leads to a bias towards the identification of a single factor. It provides an approximation to this bias and the corresponding sampling distribution.