{"id":"W2792300635","doi":"10.1093/eurheartj/ehy176","title":"Apixaban in patients at risk of stroke undergoing atrial fibrillation ablation","year":2018,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden; Bundesministerium für Bildung und Forschung; British Heart Foundation; Deutsches Zentrum für Herz-Kreislaufforschung; Fondation Leducq; European Commission; Pfizer; Kompetenznetz Vorhofflimmern; Duke Clinical Research Institute; Bristol-Myers Squibb","keywords":"Medicine; Apixaban; Atrial fibrillation; Stroke (engine); Cardiology; Internal medicine; Stroke risk; Ablation; Ischemic stroke; Warfarin; Rivaroxaban; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.000969008,0.0003318878,0.0009142917,0.0001948364,0.0002522375,0.0007210074,0.0002445469,0.0007055464,0.001701314],"category_scores_gemma":[0.003008887,0.0002182508,0.000853501,0.0003778714,0.0002442309,0.0004375781,0.0003202793,0.0009604539,0.0002155968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954537,"about_ca_system_score_gemma":0.0004241477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003441691,"about_ca_topic_score_gemma":0.0005753313,"domain_scores_codex":[0.9991844,0.0004172068,0.0001030566,0.0001025864,0.00009948418,0.00009325152],"domain_scores_gemma":[0.9990163,0.0003246417,0.0003045486,0.00005039842,0.00006223771,0.0002418801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1878165,0.002508126,0.6729943,0.001361963,0.002116697,0.00151434,0.0004737682,0.0006779036,0.005528136,0.0003337929,0.003066368,0.1216082],"study_design_scores_gemma":[0.04505574,0.05320069,0.8835841,0.0004638443,0.002745099,0.003721066,0.0005525041,0.002283909,0.001257302,0.001221828,0.005830287,0.00008366817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898874,0.0079121,0.0002215419,0.0006691955,0.0001332193,0.00009644478,0.0001646209,0.000008653432,0.0009069109],"genre_scores_gemma":[0.9972487,0.001572155,0.0001876474,0.0004014499,0.0002333139,0.00008045269,0.0001552046,0.000001590585,0.000119343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001701314,"threshold_uncertainty_score":0.005691528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05254850007248059,"score_gpt":0.3164111890699772,"score_spread":0.2638626889974967,"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."}}