{"id":"W2621785677","doi":"10.1016/j.cjca.2017.06.001","title":"Rationale, Design and Baseline Characteristics of Participants in the C ardiovascular O utco m es for P eople Using A nticoagulation S trategie s (COMPASS) Trial","year":2017,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"LEO Pharma; Servier; University of Cape Town; Eisai; Amarin Corporation; Wellcome Trust; Regeneron Pharmaceuticals; Pfizer; Heart and Stroke Foundation of Canada; Daiichi Sankyo Europe; Sanofi; GlaxoSmithKline; Amgen; Bayer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Compass; Baseline (sea); Internal medicine; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02948775,0.003686418,0.003382984,0.00139209,0.001972227,0.002550181,0.002495106,0.004097751,0.01965325],"category_scores_gemma":[0.02921345,0.002236117,0.002461182,0.001954507,0.002362913,0.001926894,0.001045628,0.003941122,0.006062899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505908,"about_ca_system_score_gemma":0.004845136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093874,"about_ca_topic_score_gemma":0.001725573,"domain_scores_codex":[0.9768717,0.01528231,0.00195253,0.002576653,0.002269115,0.001047722],"domain_scores_gemma":[0.9949788,0.001285058,0.0009495398,0.0008510836,0.001007112,0.0009282543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.7115731,0.01545292,0.04296362,0.0167172,0.006197592,0.00144063,0.001229188,0.002865531,0.003354208,0.02177028,0.09147082,0.08496494],"study_design_scores_gemma":[0.6998753,0.05840879,0.04440264,0.005183136,0.006918319,0.00117068,0.0005649427,0.006165881,0.001945007,0.03387608,0.141071,0.0004181452],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.07238955,0.0182741,0.02269198,0.01055804,0.006658654,0.8189989,0.02977395,0.0002874414,0.02036738],"genre_scores_gemma":[0.1078876,0.001904654,0.0164235,0.006229932,0.0008402952,0.8577611,0.004982377,0.00005050217,0.003920044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02948775,"threshold_uncertainty_score":0.155948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.318366813479228,"score_gpt":0.3954867721660112,"score_spread":0.07711995868678323,"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."}}