{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002234156,0.0003220171,0.0007327296,0.00064519,0.0004937912,0.0001062834,0.0004112089,0.003921431,0.06529074],"category_scores_gemma":[0.1253826,0.000285006,0.0004541262,0.0003072387,0.00009837976,0.00009148914,0.00001947139,0.007583467,0.0002529898],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002627549,"about_ca_system_score_gemma":0.1269879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007003025,"about_ca_topic_score_gemma":0.001014913,"domain_scores_codex":[0.9928284,0.0002272124,0.001071898,0.0003796313,0.004410658,0.00108216],"domain_scores_gemma":[0.9809971,0.0007561233,0.0005936531,0.0002289702,0.001320421,0.01610377],"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":[0.000005461691,0.00005499431,0.0004984621,0.00008267012,0.0001315774,0.0008428998,0.0001825472,1.697694e-8,7.194966e-7,0.00003717483,0.9359167,0.0622468],"study_design_scores_gemma":[0.001216612,0.00006766852,0.0003712546,0.001664777,0.0001322403,0.004701364,0.0001834882,0.0001169643,0.000001309279,0.00008961971,0.9911843,0.0002704343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004904905,0.0006817165,0.0001201493,0.9832174,0.007547179,0.0004525565,0.00003048218,0.00004537715,0.007414618],"genre_scores_gemma":[0.0003708054,0.0008291543,0.0004299172,0.9034531,0.05477172,0.00006421169,0.0006038185,0.00007250986,0.03940482],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1243603,"threshold_uncertainty_score":0.9999602,"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."}}