{"id":"W2031317063","doi":"10.1016/j.cjca.2014.08.002","title":"Aligning Health Care Policy With Evidence-Based Medicine: The Case for Funding Direct Oral Anticoagulants in Atrial Fibrillation","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Heart and Stroke Foundation; University of British Columbia; University of Toronto; Libin Cardiovascular Institute of Alberta; University Health Network; McMaster University; University of Alberta; Population Health Research Institute; University of Calgary; Canadian Association of Gastroenterology; McGill University","funders":"","keywords":"Medicine; Reimbursement; Guideline; Health care; Stroke (engine); Atrial fibrillation; Intensive care medicine; Specialty; Public health; Family medicine; Medical emergency; Nursing","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":[],"category_scores_codex":[0.2741205,0.001029433,0.002738422,0.004569004,0.008340202,0.03689121,0.007824324,0.0580161,0.007834833],"category_scores_gemma":[0.4862003,0.001406725,0.002451445,0.005179049,0.04625677,0.02926572,0.02534713,0.0448978,0.00135661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03819279,"about_ca_system_score_gemma":0.1748651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05836323,"about_ca_topic_score_gemma":0.04639283,"domain_scores_codex":[0.7371438,0.1544763,0.01966001,0.01039733,0.05858928,0.01973324],"domain_scores_gemma":[0.3382896,0.4881282,0.03764749,0.02233298,0.06235418,0.05124757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002591263,0.0002748237,0.009768601,0.002136451,0.0004637435,0.0005841788,0.00378848,0.003087098,0.0003898161,0.5998075,0.2417206,0.1377196],"study_design_scores_gemma":[0.0006992341,0.00021651,0.007083018,0.0151347,0.000285105,0.0005690201,0.003944758,0.002795003,0.0003006038,0.7076436,0.2610385,0.0002899367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007305908,0.005184122,0.0009344563,0.9891797,0.0009683487,0.00001627251,0.00001476886,0.00001065969,0.002961086],"genre_scores_gemma":[0.1606735,0.01884809,0.01468798,0.7847315,0.01889694,0.0003800672,0.0001158938,0.0001083494,0.001557727],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2741205,"threshold_uncertainty_score":0.8951387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120005870770787,"score_gpt":0.382353619467941,"score_spread":0.262347748697154,"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."}}