{"id":"W2030209899","doi":"10.1503/cmaj.109-3024","title":"Full speed ahead for CMA's transformation train","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Computer science; Association (psychology); Core (optical fiber); Operations research; Telecommunications; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005229789,0.001017996,0.0004498503,0.001069036,0.01498334,0.009985469,0.001795343,0.01253837,0.2975493],"category_scores_gemma":[0.01097522,0.0005976703,0.000945261,0.0005883042,0.001918216,0.004397937,0.008624614,0.0152137,0.1135928],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005839626,"about_ca_system_score_gemma":0.03441067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07621648,"about_ca_topic_score_gemma":0.1946167,"domain_scores_codex":[0.9943774,0.0005592943,0.00009119837,0.0004196252,0.002300225,0.002252224],"domain_scores_gemma":[0.9813613,0.0006895768,0.000194653,0.0006786008,0.003467615,0.01360815],"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":[0.00001736481,0.00005381721,0.0001289289,0.000009921648,0.000001206745,0.0000234949,0.00008564052,0.00001512389,0.00009779633,0.00286289,0.9866815,0.01002245],"study_design_scores_gemma":[0.0000126983,0.00001842526,0.0007073727,0.00002262748,7.729556e-7,0.00001716259,0.0003483527,0.00005648968,0.00003572416,0.0007627493,0.9980085,0.000008952554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001976327,0.00120576,0.001876959,0.6506743,0.05157923,0.0003299156,0.0006326994,0.001090317,0.2906344],"genre_scores_gemma":[0.01451418,0.000546538,0.002666129,0.1149882,0.004662866,0.0002268021,0.000436416,0.0003182442,0.8616406],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9941604,"threshold_uncertainty_score":0.9954016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309342522799443,"score_gpt":0.3824712598028896,"score_spread":0.3515370075229453,"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."}}