{"id":"W4415627484","doi":"10.1093/europace/euaf275","title":"Adverse outcomes in patients with atrial fibrillation and a pacemaker: a cohort study","year":2025,"lang":"en","type":"article","venue":"EP Europace","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Roche Diagnostics; Bayer Portugal; Boehringer Ingelheim España; Bristol-Myers Squibb Canada; Schweizerische Herzstiftung; Universität Basel; Biosense Webster; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Foundation for Cardiovascular Research; Daiichi Sankyo Europe; Sanofi; Daiichi-Sankyo; Pfizer; Boston Scientific Corporation; National Science Foundation","keywords":"Atrial fibrillation; Adverse effect; Cohort study; Cohort; Retrospective cohort study; Incidence (geometry)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001946634,0.0001280427,0.0003193204,0.0001968109,0.00004696996,0.00001643449,0.00001965497,0.00002835456,0.00002552781],"category_scores_gemma":[0.000214723,0.00009516258,0.00005535091,0.0003334251,0.00002382841,0.00008668099,0.0000582477,0.00006552942,0.0000147931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004111724,"about_ca_system_score_gemma":0.00002574454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003403401,"about_ca_topic_score_gemma":0.00002755602,"domain_scores_codex":[0.9990951,0.0000748638,0.000218442,0.0002445134,0.0002379789,0.0001290459],"domain_scores_gemma":[0.9995468,0.00009652092,0.00006830523,0.0001949766,0.00005192458,0.00004151151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008674456,0.00001379291,0.9978911,0.00002330264,0.0001348055,0.00001344787,0.0001428495,0.00006214502,9.530514e-7,0.00009927297,0.0001087295,0.0006422161],"study_design_scores_gemma":[0.008412078,0.0003483487,0.9868743,0.00003008595,0.000200948,3.508418e-7,0.0001480305,0.0001153051,0.000001011261,0.000008785547,0.003772708,0.00008808933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946688,0.00004015295,0.0000640632,0.001101031,0.0001545061,0.001883684,0.000001548296,0.00005110861,0.002035104],"genre_scores_gemma":[0.9929318,0.00001055549,0.0001276666,0.00008518368,0.00009171553,8.155268e-7,0.00001126154,0.0000119077,0.006729112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101678,"threshold_uncertainty_score":0.3880617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457006700478972,"score_gpt":0.2940415150833213,"score_spread":0.2794714480785315,"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."}}