{"id":"W3021205179","doi":"","title":"Are Physician Executive Pay-for-Performance Programs the Future of Physician Leader Compensation in Canada?","year":2005,"lang":"en","type":"article","venue":"Insights (Essays)","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Pay for performance; Popularity; Executive compensation; Accountability; Compensation (psychology); Context (archaeology); Business; Quality (philosophy); Public relations; Incentive program; Health care; Public economics; Accounting; Economics; Political science; Psychology; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002243582,0.000219089,0.0004688714,0.00007671943,0.0005567757,0.000006672848,0.0003043819,0.0001432016,0.00001522475],"category_scores_gemma":[0.00001254617,0.0001307026,0.00007088565,0.0003519545,0.00006304632,0.000263834,0.00005608924,0.0006868854,0.00002667373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219018,"about_ca_system_score_gemma":0.002496251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0799882,"about_ca_topic_score_gemma":0.893732,"domain_scores_codex":[0.9979209,0.0002369435,0.0006294738,0.0002660537,0.0003480322,0.0005985649],"domain_scores_gemma":[0.9983498,0.0002975467,0.0006126452,0.0003901335,0.0002674758,0.00008236921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005393319,0.0004988625,0.3457926,0.002592792,0.0001563878,0.00001408211,0.04808411,0.0002491979,0.0003373487,0.03674311,0.1485256,0.4164665],"study_design_scores_gemma":[0.001460374,0.00007347285,0.3175887,0.0004015079,0.00002983725,3.991616e-7,0.02001758,0.0006544847,0.0003315588,0.00171753,0.6574041,0.0003204669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211996,0.001319308,0.00006574837,0.04000782,0.001657712,0.003254899,0.00006587573,0.0000787181,0.03235038],"genre_scores_gemma":[0.9606674,0.0001021785,0.000108419,0.03669642,0.001411723,0.0003074177,0.00005969131,0.0000289709,0.0006178272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8137437,"threshold_uncertainty_score":0.9261382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465194580840884,"score_gpt":0.3363619947129405,"score_spread":0.2898425366288521,"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."}}