{"id":"W3173965913","doi":"10.1016/j.jacep.2021.04.004","title":"Predictors of Major Atrial Fibrillation Endpoints in the National Heart, Lung, and Blood Institute HCMR","year":2021,"lang":"en","type":"article","venue":"JACC. Clinical electrophysiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; McGill University","funders":"National Heart, Lung, and Blood Institute; Medical Research Council; Philips Oral Healthcare; British Heart Foundation; National Institutes of Health; National Center for Advancing Translational Sciences; Siemens Medical Solutions USA; MyoKardia; NIHR Oxford Biomedical Research Centre; Bayer Fund","keywords":"Medicine; Atrial fibrillation; Internal medicine; Cardiology; Hypertrophic cardiomyopathy; Body mass index; Proportional hazards model; Cardiomyopathy; Heart failure","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":[0.0005569046,0.0001105887,0.0004694004,0.00008537534,0.00004605589,0.000009141145,0.00006161004,0.0001624727,0.00007718618],"category_scores_gemma":[0.00191233,0.00007967492,0.0002574923,0.0002905481,0.0001534428,0.00007942335,0.00006188291,0.0002193089,0.000007904516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001824417,"about_ca_system_score_gemma":0.0001822523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001274236,"about_ca_topic_score_gemma":0.0000156823,"domain_scores_codex":[0.9982675,0.0003213527,0.0006869104,0.0002910675,0.0002493811,0.0001837478],"domain_scores_gemma":[0.9986347,0.0008733601,0.0001631509,0.0001531783,0.0001282996,0.00004728937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002014373,0.00006460045,0.9433155,0.00009714052,0.0006055459,0.00002898497,0.00008944768,0.0001867619,0.03408716,0.01564819,0.001867675,0.001994596],"study_design_scores_gemma":[0.004022056,0.0006866954,0.9802663,0.0000190065,0.000236133,0.00002846898,0.00001320568,0.0005561307,0.0005291665,0.002073647,0.01147932,0.00008989759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930613,0.0003622718,0.00002200253,0.00530258,0.0003676747,0.0003279317,0.000004726756,0.00001752793,0.0005339858],"genre_scores_gemma":[0.9949121,0.0004567421,0.0003771524,0.0008922677,0.003053981,0.000001287086,0.00008257925,0.000008333078,0.0002155694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03695076,"threshold_uncertainty_score":0.3249049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06087353828495669,"score_gpt":0.3921142209910374,"score_spread":0.3312406827060807,"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."}}