Various theories have come up to explain the meaning of each variable. mCPC seems to be minimum cost-per-click, but thresh and Pscore have proven more challenging.
Another is pscore which is used for storing the value calculated by PageRank. according to the score. The value of pscore represents the linked …
P-score represents minus logarithm of the P-value. P-value measures the probability of achieving the same or better quality of match at a chance, i.e. at random picking the structures from the database. “Quality of match” is a complex characteristics, which accounts for RMSD, number of aligned residues Nalgn, number of gaps Ngaps, number of matched Secondary Structure Elements and the SSE match score. The higher P-score (the lower P-value), the more surprising, or statistically significant, is the match.
I tend to doubt, however, that “Pscore” as used here is the same commonly used variable that had I used in high school statistics.
“Thresh” probably refers to some sort of threshold (unless we’re going to be talking about threshing some wheat…), but without more explanation from Google (which is unlikely to be forthcoming), any postulates (oh, dang, I’m slipping into math jargon!) are pure speculation.