{"id":"W3087260085","doi":"10.1001/jamanetworkopen.2020.15943","title":"Evaluation of the Age, Biomarkers, and Clinical History–Bleeding Risk Score in Patients With Atrial Fibrillation With Combined Aspirin and Anticoagulation Therapy Enrolled in the ARISTOTLE and RE-LY Trials","year":2020,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"Svenska Sällskapet för Medicinsk Forskning; Stiftelsen för Strategisk Forskning; Hjärt-Lungfonden; Pfizer; Duke Clinical Research Institute; Bristol-Myers Squibb","keywords":"Medicine; Atrial fibrillation; Internal medicine; Interquartile range; Aspirin; Stroke (engine); Randomized controlled trial; Apixaban; Warfarin; Concomitant; Cohort; Cardiology; Rivaroxaban; Surgery","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":[0.008620002,0.0001246545,0.0004844449,0.00004553252,0.00007406757,0.00004734872,0.00008536344,0.0001501816,0.000009553374],"category_scores_gemma":[0.0007389324,0.00005960333,0.00004548144,0.0003259687,0.0001538327,0.0001264079,0.00006095902,0.0002078099,1.238182e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005595831,"about_ca_system_score_gemma":0.0001235203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002125427,"about_ca_topic_score_gemma":0.0001429317,"domain_scores_codex":[0.9967871,0.00184461,0.0005679372,0.0002389452,0.0004440068,0.0001174577],"domain_scores_gemma":[0.9985729,0.0006180171,0.0004969005,0.000155001,0.000110739,0.0000464652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01876694,0.00003073379,0.9556187,0.00001227219,0.0002452062,0.000001394811,0.0008863141,0.0003188249,0.00001012189,0.000006424309,0.0002823841,0.02382068],"study_design_scores_gemma":[0.03790436,0.001321681,0.9468175,0.0003684583,0.0004604623,0.00000123634,0.0001486383,0.01261273,0.000002026866,0.00009106852,0.000192561,0.00007930509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931442,0.001337112,0.000005063559,0.001647979,0.00009904757,0.0034771,0.000001857628,0.000005036946,0.0002826149],"genre_scores_gemma":[0.9990041,0.0004712071,0.0001556041,0.0001729007,0.0001480434,0.000005902691,0.00002584027,0.00001211563,0.000004278592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374138,"threshold_uncertainty_score":0.2987538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125882823799076,"score_gpt":0.341029252128147,"score_spread":0.2284409697482394,"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."}}