{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005469373,0.0001545034,0.000304257,0.00006705714,0.00006701636,0.00003831867,0.00002833601,0.000077021,0.0001716146],"category_scores_gemma":[0.0001755657,0.0001348644,0.0001944121,0.0002510786,0.00001747821,0.0001529521,0.00009128375,0.00008975313,0.0001367671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377915,"about_ca_system_score_gemma":0.00004156392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001964357,"about_ca_topic_score_gemma":0.00003713877,"domain_scores_codex":[0.9989394,0.0001236054,0.0002262675,0.0003064647,0.0002602012,0.0001440906],"domain_scores_gemma":[0.9993614,0.0000932893,0.00007721404,0.0002497805,0.000112726,0.0001055675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006867914,0.000002464816,0.9842485,0.00004491796,0.0006839881,0.0001925653,0.000515097,0.00001270054,0.006283656,0.0001210973,0.0005035886,0.00670467],"study_design_scores_gemma":[0.001402826,0.00006731598,0.8867842,0.00004508243,0.00055707,0.000005290724,0.00005703923,0.000184742,0.0009985698,0.0001683123,0.1095965,0.0001330956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940626,0.001765002,0.0001407344,0.002148665,0.0007181086,0.0003065261,0.00001693244,0.0001031298,0.0007382917],"genre_scores_gemma":[0.9889095,0.000253654,0.0009488724,0.0001752583,0.002921464,7.890321e-7,0.0001855473,0.00003311149,0.006571749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090929,"threshold_uncertainty_score":0.5499609,"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."}}