{"id":"W4210917453","doi":"10.1136/heartjnl-2021-320122","title":"Sex-specific differences in adverse outcome events among patients with atrial fibrillation","year":2022,"lang":"en","type":"article","venue":"Heart","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Medicine; Atrial fibrillation; Stroke (engine); Internal medicine; Myocardial infarction; Incidence (geometry); Heart failure; Context (archaeology); Cohort study; Cardiology; Clinical endpoint; Randomized controlled trial","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":[0.0001764616,0.0001085181,0.0002772308,0.0001717172,0.000119433,0.000007422492,0.00003987909,0.00002760052,0.0007530856],"category_scores_gemma":[0.00002414943,0.00008913891,0.0001136372,0.000283219,0.00002056148,0.0001058007,0.00006929441,0.0001105538,0.00003546832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008127,"about_ca_system_score_gemma":0.00001819469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003654351,"about_ca_topic_score_gemma":0.00001098911,"domain_scores_codex":[0.9987593,0.00008127774,0.000292423,0.0002132369,0.0004808327,0.0001729058],"domain_scores_gemma":[0.9996157,0.00006342508,0.00007815553,0.0001639985,0.00002338781,0.0000553578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004178665,0.00000591252,0.9982629,0.00001019785,0.00001871194,0.000003342582,0.0001131994,0.0002890398,0.000003286659,0.00004428904,0.0002397564,0.000591434],"study_design_scores_gemma":[0.00335097,0.0002095601,0.9673664,0.00001095012,0.00002154233,8.252975e-7,0.0001339955,0.0001556897,0.000002146288,0.00002397809,0.02862219,0.0001017666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978135,0.00003287079,0.00001358973,0.0005767213,0.0003711477,0.0006958451,0.000007073698,0.00004633006,0.0004429469],"genre_scores_gemma":[0.9967373,0.000005722349,0.000127287,0.00007146924,0.0003686433,0.000002289917,0.00007957088,0.00001428321,0.002593433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03089658,"threshold_uncertainty_score":0.8245759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0519140042063973,"score_gpt":0.2941852411520325,"score_spread":0.2422712369456352,"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."}}