{"id":"W2011133382","doi":"10.1503/cmaj.1040629","title":"The future sponsorship of CME in Canada: Industry, government, physicians or a blend?","year":2004,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada","funders":"University of Toronto","keywords":"Government (linguistics); Business; Medicine; Computer science; Public relations; Political 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008306358,0.0006283291,0.001392381,0.00103355,0.01071559,0.009306469,0.003058544,0.05946752,0.006645408],"category_scores_gemma":[0.03878348,0.0007624348,0.0009504637,0.001625246,0.006877779,0.005180229,0.001672586,0.0426262,0.002402382],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04361873,"about_ca_system_score_gemma":0.0650842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3669157,"about_ca_topic_score_gemma":0.6782613,"domain_scores_codex":[0.9892019,0.001434887,0.0007662767,0.0008813775,0.005552153,0.00216352],"domain_scores_gemma":[0.9643097,0.009882381,0.002152626,0.0005360599,0.01286302,0.01025629],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002530577,0.000009623471,0.0003410982,0.00003566056,0.000006217072,0.0003256906,0.0001274601,0.00001607047,0.00006689888,0.002287685,0.9919552,0.004803089],"study_design_scores_gemma":[0.00009565136,0.00003009476,0.001840842,0.0004699369,0.00003923746,0.0009937412,0.001090041,0.0002750329,0.0001556925,0.004329187,0.9905901,0.00009035635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002078206,0.001657382,0.000030493,0.977585,0.01865067,0.000003684036,0.00001588808,0.000007883688,0.00184112],"genre_scores_gemma":[0.006974916,0.00227458,0.0001818822,0.9384273,0.04498632,0.000008323075,0.00001581634,0.00001811029,0.007112738],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9916936,"threshold_uncertainty_score":0.7295601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375227937985341,"score_gpt":0.4270835861526959,"score_spread":0.2895607923541618,"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."}}