{"id":"W2539316851","doi":"10.1503/cmaj.1150124","title":"What were incentive payments accomplishing?","year":2016,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Payment; Outcome (game theory); Medicine; Family medicine; Actuarial science; Computer science; Business; World Wide Web; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02579409,0.000576217,0.001695761,0.001218049,0.004802585,0.006253699,0.002752675,0.03824516,0.007170684],"category_scores_gemma":[0.1853769,0.0007624624,0.001293374,0.00269104,0.005614318,0.00777754,0.002229688,0.04430517,0.002908181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009616176,"about_ca_system_score_gemma":0.0195827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03604668,"about_ca_topic_score_gemma":0.05198369,"domain_scores_codex":[0.9807669,0.008359022,0.002097488,0.001755877,0.005398676,0.001622102],"domain_scores_gemma":[0.8918148,0.07530674,0.008366582,0.001742536,0.01449529,0.008274058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008966438,0.00004298461,0.003420163,0.0001685597,0.00004034028,0.0005183658,0.0004609785,0.00006494489,0.00004805416,0.005342576,0.9746038,0.01519947],"study_design_scores_gemma":[0.0002996681,0.0002690858,0.008971659,0.00309908,0.00009662953,0.002222449,0.003179771,0.0008338411,0.0004457685,0.01817105,0.9621318,0.000279074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000320727,0.001162569,0.00005501374,0.9942893,0.003349704,0.000005673666,0.00006663206,0.00000554037,0.0007448053],"genre_scores_gemma":[0.004456552,0.001780596,0.0002337595,0.9778994,0.01445656,0.00002888262,0.00003399318,0.00001560795,0.00109466],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03824516,"threshold_uncertainty_score":0.1364138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952096734439871,"score_gpt":0.3679259931735525,"score_spread":0.3384050258291538,"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."}}