{"id":"W3117641608","doi":"10.1093/cvr/cvaa344","title":"Stroke risk prediction in patients with atrial fibrillation with and without rheumatic heart disease","year":2020,"lang":"en","type":"article","venue":"Cardiovascular Research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Deutsche Herzstiftung","keywords":"Atrial fibrillation; Medicine; Cardiology; Stroke (engine); Internal medicine; Heart disease; Stroke risk; Ischemic stroke; Ischemia","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":[0.0008645387,0.0003701531,0.0006007726,0.0008998052,0.0003722828,0.0007846492,0.00029344,0.0006583955,0.0009970778],"category_scores_gemma":[0.002758237,0.0002322672,0.0006329308,0.0007440942,0.0002505059,0.0004758808,0.0004405756,0.0006344299,0.0002436453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940528,"about_ca_system_score_gemma":0.0002245071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827468,"about_ca_topic_score_gemma":0.002350317,"domain_scores_codex":[0.999476,0.0001480014,0.00008307673,0.0001386193,0.00008541334,0.00006894854],"domain_scores_gemma":[0.9989779,0.0002796982,0.0004240542,0.00006697359,0.00007435711,0.0001771307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001617044,0.00001786779,0.9988111,0.000003884284,0.00003651546,0.00004353527,0.00002215284,0.00003222533,0.00004343946,0.000005405296,0.00003278657,0.0007893966],"study_design_scores_gemma":[0.00002057276,0.000142711,0.9988348,0.000006095795,0.0000365041,0.0003237944,0.00007517658,0.0004180591,0.00002715162,0.0000304621,0.00008102591,0.000003807179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993217,0.0002642054,0.000058001,0.00003742177,0.00001012149,0.000003991199,0.0001253793,0.00000196829,0.0001772501],"genre_scores_gemma":[0.9993491,0.0001264212,0.0000897483,0.00002137743,0.00002845312,0.000005707266,0.0003095297,8.890621e-7,0.00006878551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827468,"threshold_uncertainty_score":0.004572153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05901778666503505,"score_gpt":0.3197700929280789,"score_spread":0.2607523062630439,"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."}}