{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005094243,0.0001429361,0.000191677,0.0003779453,0.0003994491,0.0006365646,0.0002712899,0.0002311895,0.001929487],"category_scores_gemma":[0.002381525,0.00009041927,0.0004652543,0.0006335661,0.0002429008,0.0001700792,0.0003523419,0.0005720851,0.0001272659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009342831,"about_ca_system_score_gemma":0.001369483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02286394,"about_ca_topic_score_gemma":0.01732665,"domain_scores_codex":[0.9995952,0.0000555338,0.00003827455,0.00006033779,0.0001497696,0.0001008671],"domain_scores_gemma":[0.9978293,0.0002013514,0.001263453,0.00007219063,0.0002389562,0.0003946848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004130711,0.000006282214,0.9986333,0.000006334862,0.00003462951,0.00004761898,0.00001450403,0.00004585949,0.00004408359,0.00001686904,0.0001035326,0.001005552],"study_design_scores_gemma":[0.000004578256,0.0000251874,0.9990171,0.000006900116,0.000027153,0.0004019219,0.00002807254,0.00024053,0.00004208825,0.00004911974,0.0001548341,0.000002452843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977024,0.0006377823,0.0001969626,0.0001880494,0.000009764934,0.000009061706,0.0003679667,0.00001172822,0.0008763343],"genre_scores_gemma":[0.9995797,0.00009910556,0.00005536868,0.00001684961,0.00001079056,0.000001934028,0.0001738526,0.000001030504,0.00006120647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02286394,"threshold_uncertainty_score":0.04546171,"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."}}