{"id":"W3096431982","doi":"10.1001/jamanetworkopen.2020.22886","title":"Assessment of Outcomes Among Patients With Venous Thromboembolism With and Without Chronic Kidney Disease","year":2020,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; McMaster University","funders":"LEO Pharma; Boston Scientific Corporation; Aspen; National Heart, Lung, and Blood Institute; Pfizer; Heart and Stroke Foundation of Canada; Ministero della Salute; Ionis Pharmaceuticals; Canadian Institutes of Health Research; American Heart Association; Daiichi Sankyo Europe; Sanofi; Servier; Ono Pharmaceutical; Bristol-Myers Squibb","keywords":"Medicine; Kidney disease; Concomitant; Internal medicine; Prospective cohort study; Renal function; Anticoagulant; Cohort study; Cohort; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001947355,0.0002898211,0.001107542,0.00003569554,0.000129078,0.0001303802,0.0002898438,0.00005749793,0.000172237],"category_scores_gemma":[0.00003633693,0.0001898492,0.00005448763,0.000247331,0.00016549,0.0003055733,0.0004311495,0.0002116623,0.000004714806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007720287,"about_ca_system_score_gemma":0.0003590047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002225457,"about_ca_topic_score_gemma":0.00005748972,"domain_scores_codex":[0.998224,0.0000697913,0.0003228878,0.0004945141,0.0004883935,0.0004004259],"domain_scores_gemma":[0.9983768,0.0000344634,0.0002635916,0.0004464002,0.0001263652,0.0007523578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003547248,0.000792796,0.9879208,0.0003457209,0.0007733994,0.00002625812,0.0002521137,0.0005617855,0.000001402954,0.0008495068,0.006690233,0.00143121],"study_design_scores_gemma":[0.006931129,0.00235145,0.9847188,0.0008958227,0.0008982902,7.316082e-7,0.00005291044,0.0008126079,0.000002867107,0.00003542491,0.003046612,0.0002533414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864685,0.0001483519,0.0002175408,0.004215769,0.00007248479,0.002878565,0.00003154577,0.00004901487,0.005918261],"genre_scores_gemma":[0.991997,0.0001292041,0.001946008,0.005286171,0.0002187164,0.0001509712,0.0001222036,0.0000622837,0.00008746498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006576405,"threshold_uncertainty_score":0.7741827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133626836617887,"score_gpt":0.2755198877534007,"score_spread":0.262157204091612,"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."}}