{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001754759,0.0004916063,0.0005450841,0.0008564831,0.0006321158,0.0008434087,0.000484683,0.000761566,0.00100334],"category_scores_gemma":[0.003546805,0.0003653601,0.001230116,0.001474739,0.000299203,0.0008231979,0.0006635832,0.0007016149,0.000172231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598322,"about_ca_system_score_gemma":0.0005080993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005266285,"about_ca_topic_score_gemma":0.005036149,"domain_scores_codex":[0.998911,0.0003367833,0.0001349209,0.0002839662,0.0001822118,0.0001511552],"domain_scores_gemma":[0.9972557,0.0004701611,0.001209413,0.0004594832,0.0002215576,0.000383667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004184023,0.00004267243,0.998322,0.00001182002,0.0002418702,0.0001224524,0.00006200607,0.0000488277,0.0001160753,0.00002039504,0.00006228349,0.0005313053],"study_design_scores_gemma":[0.00006250745,0.0003252226,0.9983083,0.00001455385,0.0001456783,0.0004579239,0.0001121981,0.0003014132,0.00003325151,0.00004644765,0.0001826212,0.000009783957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988219,0.0002775241,0.0001263455,0.00003207915,0.000008494932,0.00001831526,0.0005507701,0.000002063375,0.0001624831],"genre_scores_gemma":[0.998642,0.000197527,0.0001183913,0.00003127376,0.0000264081,0.00002612455,0.0008709167,0.000001905235,0.0000854732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005266285,"threshold_uncertainty_score":0.01047122,"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."}}