{"id":"W3198613954","doi":"10.12927/hcpol.2021.26577","title":"Optimizing Physician Payment Models to Address Health System Priorities: Perspectives from Specialist Physicians","year":2021,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Institute of Health Economics; University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Payment; Accountability; Incentive; Business; Payment system; Perspective (graphical); Actuarial science; Family medicine; Medicine; Finance; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02819285,0.0002769262,0.0002357496,0.0005988217,0.004494284,0.004785344,0.0009825854,0.002512624,0.001206947],"category_scores_gemma":[0.03233685,0.0002313994,0.0002666835,0.0009651874,0.004492605,0.001782592,0.002671659,0.002529432,0.00008168001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01850103,"about_ca_system_score_gemma":0.03564913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06944237,"about_ca_topic_score_gemma":0.1452165,"domain_scores_codex":[0.9757171,0.01780931,0.0004651147,0.0003847574,0.002718724,0.002904878],"domain_scores_gemma":[0.9573241,0.02805335,0.003498621,0.0004904991,0.005253713,0.00537966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003025976,0.000728466,0.1946679,0.001871834,0.0001298534,0.004914762,0.5587941,0.006866849,0.004540382,0.06361663,0.02616741,0.1373992],"study_design_scores_gemma":[0.0002185975,0.0008052089,0.08582147,0.002440967,0.000126133,0.002866241,0.7430374,0.00672054,0.002115621,0.01966661,0.1360437,0.0001374668],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8166026,0.004186319,0.005251401,0.1484265,0.0001413524,0.0001099926,0.00004998278,0.0000212697,0.02521065],"genre_scores_gemma":[0.9912069,0.001350185,0.002465673,0.00414683,0.00005659782,0.00001262697,0.00000938006,0.000003139536,0.0007487175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06944237,"threshold_uncertainty_score":0.1490998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09621169825781138,"score_gpt":0.4348880024238179,"score_spread":0.3386763041660065,"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."}}