{"id":"W4239802466","doi":"10.1503/cmaj.109-3977","title":"Highlights of CMA's 144th annual general meeting","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; World Wide Web; Library science","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":[0.007575954,0.002438862,0.001334824,0.001802063,0.005212611,0.007224106,0.002517755,0.02374243,0.05889706],"category_scores_gemma":[0.0071902,0.0008205978,0.002058165,0.00136397,0.001225092,0.002930092,0.003818956,0.01206296,0.02070908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007723904,"about_ca_system_score_gemma":0.01852378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02902384,"about_ca_topic_score_gemma":0.1021788,"domain_scores_codex":[0.9962585,0.0003624292,0.000180124,0.0004556988,0.001675426,0.001067801],"domain_scores_gemma":[0.9926661,0.0005073369,0.0003225987,0.0001690288,0.002559618,0.003775425],"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":[0.0000461712,0.00004839887,0.0002125721,0.0001052822,0.000005653166,0.0001176855,0.00002164781,0.00003634957,0.0001562202,0.0002929425,0.9921802,0.00677688],"study_design_scores_gemma":[0.00003172298,0.00002741505,0.002527568,0.0001371154,0.00000742872,0.00005709222,0.0001060829,0.00004947011,0.00004967492,0.0001716281,0.9968226,0.0000121079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001569414,0.01778478,0.0003885129,0.4949857,0.441468,0.00040222,0.001203898,0.0001533605,0.04204407],"genre_scores_gemma":[0.01193508,0.01825166,0.001155617,0.2191631,0.2993168,0.0008566694,0.001864146,0.0002503366,0.4472066],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05889706,"threshold_uncertainty_score":0.1970303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0814655864324939,"score_gpt":0.3760444042276292,"score_spread":0.2945788177951353,"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."}}