{"id":"W4210925987","doi":"10.1038/s41598-022-05688-9","title":"Long-term risk of adverse outcomes according to atrial fibrillation type","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"Roche Diagnostics; Merck Sharp and Dohme; Schweizerische Herzstiftung; Daiichi-Sankyo; McMaster University; Mach-Gaensslen Foundation of Canada; Hamilton Health Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Boehringer Ingelheim; Foundation for Cardiovascular Research; Sanofi; Universität Basel; Bristol-Myers Squibb; Pfizer; National Science Foundation","keywords":"Atrial fibrillation; Term (time); Medicine; Internal medicine; Cardiology; Intensive care medicine","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":[0.002135258,0.0002355249,0.0005691902,0.0008642186,0.0003222036,0.000773424,0.0004504918,0.0007446329,0.001297901],"category_scores_gemma":[0.006177583,0.0002464724,0.001174685,0.001414507,0.0003514537,0.0006073858,0.0007188079,0.00103064,0.0002539759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779509,"about_ca_system_score_gemma":0.0003438891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782572,"about_ca_topic_score_gemma":0.00303008,"domain_scores_codex":[0.9983012,0.0004375692,0.0002022814,0.0004443115,0.00022482,0.0003898773],"domain_scores_gemma":[0.9901199,0.001946873,0.005291195,0.0007822888,0.0007964919,0.001063162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003396202,0.00001849562,0.9975837,0.00001359605,0.0002112158,0.00006153153,0.0000179238,0.00009392636,0.00007351463,0.0000258415,0.00006841223,0.001492186],"study_design_scores_gemma":[0.000005361591,0.0000699804,0.9994049,0.00000590937,0.00005633905,0.0001430657,0.00001699989,0.0001494382,0.00001913174,0.00006041514,0.00006340291,0.000005037238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957199,0.002118072,0.0002795602,0.0001203858,0.00002535205,0.00001006051,0.0009707194,0.000007884498,0.0007481106],"genre_scores_gemma":[0.9983909,0.0003691857,0.00008772827,0.00004927487,0.0000567199,0.00001240509,0.0008042875,0.000003627815,0.0002257581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002782572,"threshold_uncertainty_score":0.01129246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784399626331141,"score_gpt":0.3379614088185132,"score_spread":0.2901174125552017,"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."}}