I think I can answer the first part, but not the second at this moment. Your getting the linear predictor, ie the xbeta. You can test this using the following code and the sample data from proc phreg provided in the SAS documentation: proc phreg data=Myeloma outest=estimates; model Time*VStatus(0)=LogBUN HGB SCalc; output out=estimates2 xbeta=sample1 ; run; data sample; set Myeloma; drop time; if mod(_n_,2)=1 then output; run; *Score the data; proc score data=sample out=results score=estimates TYPE=PARMS; var logbun hgb scalc; run; The xbeta (sample1) should be the same as the numbers in the results table. Proc SCORE seems to only multiply the parameters by the values, ie matrix math, so you'd need the linear estimators out of the proc Phreg which at this point I can't even recall is possible (just back from vacation). Also wouldn't the probablilty always be 1 (ie always die or answer a call if waiting long enough?) so you might need to clarify what you're looking for as well. Isn't that an assumption of survival analysis, without censoring present?
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