{"id":"W2012267766","doi":"10.1159/000371902","title":"Risk of Major Hemorrhage after Kidney Transplantation","year":2015,"lang":"en","type":"article","venue":"American Journal of Nephrology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto; Institute for Clinical Evaluative Sciences; St. Michael's Hospital; Western University; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada; Institute for Clinical Evaluative Sciences; Ontario Ministry of Health and Long-Term Care; Academic Medical Organization of Southwestern Ontario; University of Ottawa","keywords":"Medicine; Cumulative incidence; Kidney transplantation; Transplantation; Population; Propensity score matching; Relative risk; Incidence (geometry); Retrospective cohort study; Confidence interval; Internal medicine; Kidney disease; Surgery; Cohort study","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655687,0.00009323235,0.0004073595,0.0001535309,0.0000107505,0.000002534323,0.00005288178,0.00003156545,0.00007479203],"category_scores_gemma":[0.00003155702,0.00006558484,0.0001405037,0.0001416118,0.0001540818,0.00006579464,0.000002801474,0.0001368072,0.00001305814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002488548,"about_ca_system_score_gemma":0.0001431821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009661987,"about_ca_topic_score_gemma":0.000005843492,"domain_scores_codex":[0.9991016,0.0001059643,0.0003901894,0.00007701756,0.000200339,0.0001249206],"domain_scores_gemma":[0.9989285,0.00006866539,0.0004543876,0.00009385052,0.000177038,0.0002775423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02556377,0.0006066935,0.924577,0.0002165593,0.001607867,0.005015544,0.003666565,0.00007133694,0.005465051,0.00006489174,0.0004715215,0.03267318],"study_design_scores_gemma":[0.01607873,0.01222536,0.9464416,0.0001893689,0.003261276,0.01405059,0.0005683459,0.00007746702,0.003944122,0.0004347762,0.002547417,0.0001809301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949919,0.0001391841,0.003146576,0.001143552,0.0001062374,0.00007087182,0.00003732985,0.000004874751,0.0003594732],"genre_scores_gemma":[0.9883257,0.0003042768,0.009092713,0.002114391,0.00008003954,0.000002117911,0.00001099956,0.00001047126,0.0000592768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03249225,"threshold_uncertainty_score":0.2674472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114437800277731,"score_gpt":0.2740892225340822,"score_spread":0.262944844531305,"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."}}