to normalize grant scores by previous grant funding to the PI. i.e., (X papers of Y impact)/Z dollars of funding over the past 10 years. One way to bypass this

to normalize grant scores by previous grant funding to the PI. i.e., (X papers of Y impact)/Z dollars of funding over the past 10 years. One way to bypass this would be for larger organizations to internally incentivize their researchers to cite their own organizations papers in preference to, or in addition to, other organizations papers. Thus the larger the organization, the more it can press down on the PI scales. Alternately, even if it's not a several large organizations, smaller organizations can incentivize citing partner papers in the same way. Which is just restating the concept that if you measure something, and then base monetary rewards off that measurement, then that number will be hyper-optimized (even if it's not a good predictor of future performance). I don't have a good alternative, but just mentioning that there are easy circumventions (like you mentioned with double blinding)