{"id":"W4226254398","doi":"10.1093/europace/euac062","title":"Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference","year":2022,"lang":"en","type":"article","venue":"EP Europace","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; McMaster University; Population Health Research Institute","funders":"National Institute on Aging; Deutsche Herzstiftung; National Institute for Health and Care Research; Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche; British Heart Foundation; Fondation Leducq; Sanofi; Deutsches Zentrum für Herz-Kreislaufforschung; European Commission; Pfizer; Medical Research Council; Kompetenznetz Vorhofflimmern; Novo Nordisk Fonden; Boston Scientific Corporation","keywords":"Atrial fibrillation; Medicine; Cardiology; Rhythm; Internal medicine; Heart Rhythm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000216496,0.0001700092,0.0002725895,0.0001323012,0.0001719635,0.00005687035,0.00007395574,0.00001803997,0.0001824348],"category_scores_gemma":[0.00006261984,0.0001167025,0.00007081249,0.0002855849,0.00004627252,0.00004704556,0.0002848682,0.0001295047,0.00002978292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005603306,"about_ca_system_score_gemma":0.00001540399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004514826,"about_ca_topic_score_gemma":0.000007708594,"domain_scores_codex":[0.9986258,0.0001140906,0.0002557559,0.0003216909,0.0004592636,0.0002234656],"domain_scores_gemma":[0.9992776,0.0001922722,0.0001055005,0.000296542,0.00004945509,0.00007862582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006057504,0.000006090179,0.989922,0.00002346026,0.0000995625,0.00003670649,0.0004592615,0.0001685359,0.000001851775,0.0003792403,0.001043136,0.00725442],"study_design_scores_gemma":[0.003631161,0.0005527919,0.9316646,0.00001490634,0.000108318,0.000002158281,0.0002138685,0.00006703345,0.000004939811,0.00003013261,0.06356203,0.000148083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700998,0.00005836045,0.00003288015,0.02692582,0.0003061451,0.001635959,0.0000217899,0.00004117886,0.0008780391],"genre_scores_gemma":[0.9935013,0.00001748129,0.0005305322,0.001105791,0.0002540525,0.00001261811,0.00001409528,0.00002482553,0.004539282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06251889,"threshold_uncertainty_score":0.4758988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478611403443737,"score_gpt":0.269363120997459,"score_spread":0.2445770069630216,"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."}}