{"id":"W3144033918","doi":"10.1503/cmaj.1080048","title":"Funding for continuing medical education","year":2008,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entitlement (fair division); Continuing medical education; Continuing education; Medical education; Medicine; Data science; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01696771,0.0009831117,0.001232673,0.001702882,0.004697833,0.008028519,0.003217499,0.05192783,0.09900293],"category_scores_gemma":[0.1007831,0.0008418052,0.001682898,0.001367118,0.003375571,0.005979982,0.005389578,0.029638,0.02574296],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01350892,"about_ca_system_score_gemma":0.04335818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265285,"about_ca_topic_score_gemma":0.0277716,"domain_scores_codex":[0.974872,0.005492235,0.001818214,0.00166824,0.01183299,0.004316277],"domain_scores_gemma":[0.8893038,0.04273054,0.005558159,0.003224078,0.02524932,0.03393408],"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":[0.00002465798,0.0000168794,0.0001106618,0.0001075479,0.000006165829,0.0001380011,0.00002337295,0.0000140973,0.00007912263,0.0065784,0.9796485,0.01325263],"study_design_scores_gemma":[0.00008738309,0.00003111093,0.0005239074,0.0004705123,0.000008152401,0.0002262949,0.00003783289,0.00007376775,0.00003856959,0.001845895,0.9966406,0.00001594926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002402962,0.003467504,0.0001726863,0.9123886,0.05493675,0.00003488619,0.00012451,0.00006721245,0.02856757],"genre_scores_gemma":[0.007495887,0.004668897,0.0009635065,0.8090943,0.1037881,0.0001623627,0.0005043396,0.0001015433,0.07322106],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9864911,"threshold_uncertainty_score":0.3311978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206434031390714,"score_gpt":0.3182284731089326,"score_spread":0.2975850699698612,"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."}}