{"id":"W3165055057","doi":"10.1093/europace/euab116.139","title":"Device-detected atrial fibrillation before and after acute cardiac events: insights from ASSERT","year":2021,"lang":"en","type":"article","venue":"EP Europace","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"","keywords":"Medicine; Atrial fibrillation; Internal medicine; Cardiology; Myocardial infarction; Odds ratio; Percutaneous coronary intervention; Confidence interval; Conventional PCI; Cardiovascular event; Cardiac surgery; Unstable angina","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":[0.002771067,0.0002654096,0.0005051238,0.001915194,0.0004701864,0.001612809,0.0007553844,0.0009514458,0.00279992],"category_scores_gemma":[0.01606173,0.0002919916,0.0007470417,0.002073143,0.0003670379,0.001326492,0.001731807,0.001017475,0.0004764432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003981766,"about_ca_system_score_gemma":0.000491293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005306307,"about_ca_topic_score_gemma":0.006552248,"domain_scores_codex":[0.9976046,0.0008051699,0.0004323159,0.0004076997,0.0004307726,0.0003195029],"domain_scores_gemma":[0.9890056,0.003301666,0.004844896,0.0005571542,0.00119933,0.001091304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002550326,0.0000871971,0.9931525,0.00007802497,0.00008961831,0.0001521622,0.0003597479,0.00001790104,0.00005019084,0.0001108366,0.0005271127,0.005119702],"study_design_scores_gemma":[0.00002992889,0.0001662755,0.9960262,0.0002227354,0.0001200639,0.0008901474,0.0008071404,0.0001498887,0.00002436164,0.0002522924,0.001296624,0.00001449842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869519,0.004102851,0.0002746487,0.001162888,0.00004941778,0.00004011776,0.003008592,0.000006480503,0.004403039],"genre_scores_gemma":[0.9959787,0.0013657,0.0002238288,0.0004140538,0.0002398085,0.00003211719,0.001473868,0.000006226694,0.0002656424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005306307,"threshold_uncertainty_score":0.01465499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913467018147558,"score_gpt":0.2890413931796239,"score_spread":0.2699067229981483,"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."}}