{"id":"W2359658544","doi":"10.1111/ajt.13869","title":"Recipient Outcomes Following Transplantation of Allografts From Live Kidney Donors Who Subsequently Developed End-Stage Renal Disease","year":2016,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Health Resources and Services Administration; Astellas Pharma US","keywords":"Medicine; End stage renal disease; Hazard ratio; Transplantation; Interquartile range; Kidney transplantation; Dialysis; Subclinical infection; Internal medicine; Body mass index; Panel reactive antibody; Cohort; Kidney disease; Confidence interval; Surgery; Hemodialysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009532106,0.0002049598,0.0003025179,0.0002861559,0.000313085,0.0005584975,0.0002052614,0.0002673936,0.001039282],"category_scores_gemma":[0.001997887,0.0001441057,0.0003976244,0.0002604016,0.0002472487,0.0004897381,0.0004379803,0.0005044325,0.0001569564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857322,"about_ca_system_score_gemma":0.0001602018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006865066,"about_ca_topic_score_gemma":0.0008263682,"domain_scores_codex":[0.9997078,0.00008001329,0.00003231781,0.00005518641,0.00004698897,0.000077738],"domain_scores_gemma":[0.9985374,0.0003280078,0.000618341,0.0001120307,0.0001069075,0.0002972783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008749495,0.0001138063,0.9950132,0.00001500749,0.00007830411,0.0002928433,0.0001446568,0.00009853771,0.0006943995,0.00003053968,0.00006955737,0.002574138],"study_design_scores_gemma":[0.00004346172,0.0007592422,0.9972018,0.000008536169,0.00008034716,0.0007322771,0.0002174927,0.0002058131,0.0005163139,0.00007928033,0.000147455,0.000007928786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997469,0.00007741078,0.00004311884,0.000008323261,0.000003794283,0.000001471473,0.00002679599,9.848853e-7,0.00009114959],"genre_scores_gemma":[0.9997999,0.00004247905,0.00001399151,0.000006443964,0.000005171598,0.000001292915,0.00007142412,4.696682e-7,0.00005883139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039282,"threshold_uncertainty_score":0.005041122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473765105469561,"score_gpt":0.2734176156299652,"score_spread":0.2586799645752696,"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."}}