{"id":"W3122968069","doi":"","title":"Measurement of S&T Performance in the Government of Canada: From Outputs to Outcomes","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Incentive; Perspective (graphical); Government (linguistics); Process (computing); Performance measurement; Performance management; Organizational culture; Business; Public relations; Knowledge management; Process management; Operations management; Marketing; Political science; Computer science; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01238628,0.00009325651,0.0002292779,0.00005629033,0.00007775422,0.00002492337,0.0007372798,0.0000212449,0.0006111488],"category_scores_gemma":[0.0002416551,0.00005187644,0.00006300338,0.0003294397,0.00001721551,0.0001334217,0.00002070706,0.0004110438,0.00001102864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275455,"about_ca_system_score_gemma":0.005021076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009127114,"about_ca_topic_score_gemma":0.4539473,"domain_scores_codex":[0.9923816,0.0001990194,0.0007608561,0.0001403751,0.005823132,0.0006950591],"domain_scores_gemma":[0.9990658,0.0001470772,0.0002438102,0.0002952069,0.0001998675,0.00004829888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001706494,0.0001331473,0.5158139,0.000002899145,0.00007641623,9.627078e-7,0.001723989,0.004993265,0.0002569192,0.005981001,0.0005627325,0.4702841],"study_design_scores_gemma":[0.0007116582,0.0002986973,0.9671079,0.00003614232,0.00001340879,0.000007235175,0.005526608,0.0005627854,0.0007604429,0.008555655,0.01631473,0.0001047697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881898,0.0003325851,0.0004826289,0.00521682,0.0001104592,0.0001351868,0.000005761591,0.000001167553,0.005525582],"genre_scores_gemma":[0.9984414,0.00032174,0.00004357387,0.0003546147,0.00003679555,0.00000452933,2.024714e-7,0.000003543186,0.0007935997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4701793,"threshold_uncertainty_score":0.9974712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06451300862409651,"score_gpt":0.3530523083459796,"score_spread":0.2885392997218831,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}