Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The Clustered Factor (CF) model is commonly used to parametrize block correlation matrices. We show that the CF model imposes additional superfluous restrictions. This can be avoided by a different parametrization, based on the logarithmic block correlation matrix.