{"id":"W2065203582","doi":"10.1111/j.1600-6143.2005.01141.x","title":"Mortality After Kidney Transplantation: A Comparison Between the United States and Canada","year":2005,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"Health Resources and Services Administration; Canadian Society of Transplantation; Kidney Foundation of Canada; U.S. Department of Health and Human Services; Canadian Society of Nephrology; Royal College of Physicians and Surgeons of Canada; American Society of Nephrology; University of Michigan","keywords":"Medicine; Dialysis; Transplantation; Kidney transplantation; Proportional hazards model; Internal medicine; Mortality rate; Diabetes mellitus; Renal replacement therapy; Demography; Intensive care medicine","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":[0.0008609889,0.0005565622,0.001129818,0.002325438,0.002191306,0.001798602,0.00145679,0.001173338,0.002301211],"category_scores_gemma":[0.004564982,0.0003514309,0.001459947,0.007372236,0.0007880744,0.0007234494,0.001318827,0.001218985,0.0001521815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02144491,"about_ca_system_score_gemma":0.02461285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793351,"about_ca_topic_score_gemma":0.9849373,"domain_scores_codex":[0.998193,0.0001768232,0.0001225655,0.0002147228,0.0005637552,0.0007291069],"domain_scores_gemma":[0.9964685,0.0003128775,0.0007153829,0.00007202402,0.001371752,0.00105943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001741085,0.0000933622,0.9881048,0.000100658,0.0005995582,0.0002561133,0.0004149801,0.0005108211,0.000164852,0.0004936986,0.002230436,0.005289576],"study_design_scores_gemma":[0.0000833201,0.00007108934,0.9970572,0.00005241949,0.0002148896,0.00009068512,0.001384619,0.0003628318,0.00004624575,0.00007719413,0.0005396324,0.00001993623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887609,0.003258075,0.00007095059,0.0010413,0.00007045198,0.00002460359,0.003479251,0.000007505581,0.003286925],"genre_scores_gemma":[0.9959746,0.001303187,0.00004825578,0.0001717969,0.00003051531,0.000009563921,0.002061493,0.000006306042,0.0003942919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02144491,"threshold_uncertainty_score":0.1555944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158576875903766,"score_gpt":0.2960718253719882,"score_spread":0.2802141377816116,"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."}}