{"id":"W2946951633","doi":"10.1016/j.jstrokecerebrovasdis.2019.05.014","title":"Predictors of Recurrent Ischemic Stroke in Patients with Embolic Strokes of Undetermined Source and Effects of Rivaroxaban Versus Aspirin According to Risk Status: The NAVIGATE ESUS Trial","year":2019,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; University of Alberta Hospital; Alberta Hospital Edmonton; Impact; Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Bayer","keywords":"Medicine; Aspirin; Stroke (engine); Hazard ratio; Internal medicine; Rivaroxaban; Randomization; Randomized controlled trial; Embolism; Confidence interval; Cardiology; Atrial fibrillation; Warfarin","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":[0.0002352121,0.0001843171,0.000761648,0.000254277,0.00003601161,0.00001472087,0.0001267073,0.00006050478,0.000004564584],"category_scores_gemma":[0.0002529354,0.0001219057,0.0004613877,0.0002102772,0.0001082797,0.0001109694,0.00008171236,0.0002408297,3.435918e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000425333,"about_ca_system_score_gemma":0.0001278992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008613139,"about_ca_topic_score_gemma":0.000004835613,"domain_scores_codex":[0.9982548,0.0001282869,0.0005862797,0.0001957775,0.0006279724,0.0002068889],"domain_scores_gemma":[0.9983277,0.0002866414,0.0005420681,0.0003765405,0.0002464502,0.0002206289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01508613,0.0004455584,0.9735674,0.0003640676,0.002263702,0.00000149713,0.0002893068,0.0002042638,0.0008857932,0.000003792071,0.0000160988,0.006872393],"study_design_scores_gemma":[0.06772245,0.004395936,0.9206085,0.001141572,0.003068431,0.00000689561,0.0007645353,0.00005001547,0.0020024,0.000002877865,0.0001105912,0.0001258284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995939,0.00277767,0.0001119384,0.00001195945,0.0001683535,0.0008307422,0.0001046747,0.000005184599,0.00005050471],"genre_scores_gemma":[0.9992714,0.0005358474,0.00007602895,0.000005803332,0.00006216112,0.000008598642,0.00001094615,0.00001822685,0.00001099305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05295892,"threshold_uncertainty_score":0.4971172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003779969395861272,"score_gpt":0.2138247919452397,"score_spread":0.2100448225493784,"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."}}