{"id":"W2130302564","doi":"10.1002/hec.3221","title":"Paying for Primary Care: The Factors Associated with Physician Self‐selection into Payment Models","year":2015,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Payment; Selection (genetic algorithm); Primary care; Actuarial science; Medicine; Family medicine; Business; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01187466,0.0002437406,0.000412037,0.0009246084,0.0008358255,0.001651731,0.0006903437,0.0008823537,0.002277828],"category_scores_gemma":[0.06673869,0.0002693548,0.001255422,0.001196821,0.0007001791,0.0006209491,0.0007786679,0.001369713,0.0001992276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536111,"about_ca_system_score_gemma":0.002222284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04103619,"about_ca_topic_score_gemma":0.04271223,"domain_scores_codex":[0.9910901,0.005264096,0.0008224777,0.0007158886,0.001178689,0.0009288907],"domain_scores_gemma":[0.9189075,0.05421927,0.01463946,0.004737061,0.003225993,0.004270698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005297767,0.00004371189,0.9984611,0.000002274473,0.00003273432,0.00002374268,0.0001398811,0.0002154227,0.00002840351,0.00004969075,0.00007414181,0.0008759383],"study_design_scores_gemma":[0.00001611638,0.00008405513,0.9916858,0.00001541968,0.00003927262,0.0001492458,0.0006880437,0.006798413,0.00005889219,0.0002165249,0.0002401659,0.000007992708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985524,0.00009899276,0.0004539687,0.0004542528,0.000006797878,0.00003327357,0.00007723428,0.00000423648,0.0003188344],"genre_scores_gemma":[0.9993833,0.00003270742,0.0002634963,0.00005349333,0.000008187382,0.000007694232,0.0001394796,0.000002856521,0.0001087392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04103619,"threshold_uncertainty_score":0.08159465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125588103527336,"score_gpt":0.2815672672021,"score_spread":0.155979163674764,"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."}}