{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008858059,0.0001898123,0.0004330159,0.000115655,0.0003802778,0.00007589715,0.0001838073,0.00008244928,0.000001861406],"category_scores_gemma":[0.00002536972,0.0001696668,0.0000805059,0.0001348267,0.00002695272,0.0002743857,0.00004638056,0.0001479334,0.00001882625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00283104,"about_ca_system_score_gemma":0.0003973229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004376157,"about_ca_topic_score_gemma":0.002841005,"domain_scores_codex":[0.9983931,0.00003726798,0.0006273056,0.0003958035,0.00002577925,0.0005207761],"domain_scores_gemma":[0.9987797,0.00008646104,0.0005883336,0.0002650623,0.00005997918,0.0002204384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000948607,0.0002995194,0.01634423,0.0007520633,0.0003711788,2.588518e-7,0.02977297,0.01632871,2.27052e-7,0.9106547,0.004759549,0.02062177],"study_design_scores_gemma":[0.004336049,0.001778285,0.02317634,0.00009953544,0.0000412465,0.000001056779,0.008064988,0.07846366,0.00002494021,0.1551487,0.7276353,0.001229907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018802,0.003981529,0.02432997,0.03996826,0.001742038,0.005120961,0.0005669259,0.0004010655,0.02200907],"genre_scores_gemma":[0.9885787,0.0003726317,0.0009677868,0.009282882,0.0001708195,0.0002646043,0.0001835165,0.00005465767,0.000124344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.755506,"threshold_uncertainty_score":0.7403071,"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."}}