{"id":"W2041406002","doi":"10.2147/tcrm.s30159","title":"Rivaroxaban as an oral anticoagulant for stroke prevention in atrial fibrillation","year":2014,"lang":"en","type":"review","venue":"Therapeutics and Clinical Risk Management","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Janssen Research and Development; Bayer HealthCare","keywords":"Rivaroxaban; Medicine; Apixaban; Atrial fibrillation; Edoxaban; Stroke (engine); Dabigatran; Warfarin; Vitamin K antagonist; Internal medicine; Population; Anticoagulant; Cardiology; Clinical trial; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0008888317,0.0006225108,0.001171812,0.001864459,0.000295008,0.001431851,0.0007127685,0.001158003,0.004014562],"category_scores_gemma":[0.001061748,0.0002209105,0.000872227,0.001472668,0.0003824237,0.001082952,0.0005446102,0.001638022,0.003071786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399021,"about_ca_system_score_gemma":0.001008011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006086027,"about_ca_topic_score_gemma":0.001100555,"domain_scores_codex":[0.9992255,0.0002079246,0.0001373391,0.0001008604,0.0002885619,0.00003979871],"domain_scores_gemma":[0.9996326,0.0001719082,0.00006776719,0.00001277837,0.00009019814,0.000024705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001300751,0.0000990714,0.0001835576,0.02552154,0.0001831811,0.0005541969,0.0001813582,0.0004599594,0.004110267,0.007787782,0.06304074,0.8977482],"study_design_scores_gemma":[0.00005095199,0.0001602018,0.0004633041,0.003456154,0.0001160466,0.001452812,0.00003031996,0.00006910095,0.000422074,0.001575984,0.9921835,0.00001965041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002828966,0.9919144,0.0006592162,0.000963664,0.0007921318,0.00003159639,0.00005953645,0.00002594575,0.005270642],"genre_scores_gemma":[0.002085346,0.9927965,0.0008887541,0.001156009,0.0007726573,0.00003772098,0.0001017633,0.000008083366,0.002153187],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004014562,"threshold_uncertainty_score":0.01343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2331200978377106,"score_gpt":0.508692976891979,"score_spread":0.2755728790542684,"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."}}