{"id":"W3045859815","doi":"10.1503/cmaj.201764","title":"How Canada can better embed randomized trials into clinical care","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Fowler Kennedy Sport Medicine Clinic; University of British Columbia; Sunnybrook Health Science Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Health care; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Randomized controlled trial; Pandemic; MEDLINE; Medicine; Alternative medicine; Family medicine; Data science; Disease; Computer science; Political science; Infectious disease (medical specialty); Virology; Pathology; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"category_scores_codex":[0.6246256,0.003920462,0.009258019,0.01347157,0.008329703,0.03340933,0.016991,0.03621475,0.01990489],"category_scores_gemma":[0.8024997,0.005354266,0.008921455,0.01675466,0.02544289,0.02361774,0.0242365,0.04711768,0.004879229],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1254137,"about_ca_system_score_gemma":0.5155698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7067313,"about_ca_topic_score_gemma":0.7341223,"domain_scores_codex":[0.3083523,0.5485711,0.04100071,0.01832799,0.07003004,0.01371781],"domain_scores_gemma":[0.1324193,0.5386252,0.02432982,0.0611147,0.206858,0.03665297],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002457242,0.0004260824,0.006097156,0.009788649,0.004716692,0.0005356134,0.005472898,0.0103974,0.0005912822,0.2653736,0.4452912,0.2488521],"study_design_scores_gemma":[0.01247385,0.001231277,0.009652333,0.03418918,0.003007854,0.0001912797,0.00186333,0.008971063,0.0007583044,0.3217079,0.6049056,0.001047958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001177806,0.02015021,0.05908165,0.8490912,0.03258235,0.007148604,0.001565667,0.001205828,0.02799669],"genre_scores_gemma":[0.04581787,0.01372354,0.2946182,0.6086681,0.0147406,0.01317185,0.001183131,0.0010236,0.00705304],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8745862,"threshold_uncertainty_score":0.9099447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07464024044622725,"score_gpt":0.3934742131398952,"score_spread":0.318833972693668,"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."}}