{"id":"W2751090440","doi":"10.1111/ajt.14491","title":"Normothermic ex vivo kidney perfusion for graft quality assessment prior to transplantation","year":2017,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; Hospital for Sick Children; University Health Network","funders":"Novartis","keywords":"Medicine; Machine perfusion; Transplantation; Kidney; Urology; Perfusion; Renal function; Ex vivo; Creatinine; Kidney transplantation; Cold storage; Internal medicine; Surgery; In vivo; Liver transplantation; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005565075,0.0002687761,0.0003940334,0.0001373516,0.0001321903,0.0004168144,0.0001742691,0.0002165696,0.00110254],"category_scores_gemma":[0.0003873064,0.0001086043,0.0001829174,0.0001044164,0.0003526532,0.0004088827,0.0002499669,0.0006189529,0.0001373651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631768,"about_ca_system_score_gemma":0.0002583446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002325185,"about_ca_topic_score_gemma":0.0003467392,"domain_scores_codex":[0.9997566,0.00006663626,0.00001624613,0.00005358041,0.00006489391,0.00004193288],"domain_scores_gemma":[0.9997335,0.000056069,0.00009112628,0.00003142334,0.00004051931,0.0000473176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001062546,0.0001068498,0.002492765,0.00006192109,0.000009958888,0.00003910841,0.00003817114,0.0002407265,0.9919179,0.00005281018,0.0000278374,0.003949469],"study_design_scores_gemma":[0.00007939299,0.004861665,0.0936811,0.00004086618,0.00009892762,0.0005789566,0.0001578896,0.008207382,0.8908384,0.0002323688,0.001180005,0.00004296116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675492,0.0009490136,0.03047875,0.00004815634,0.00003595376,0.0001181077,0.0001293644,0.00007545591,0.000615951],"genre_scores_gemma":[0.9887784,0.000559092,0.009788984,0.00004230378,0.0000216262,0.0001765083,0.0002120709,0.00001700208,0.0004040844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00110254,"threshold_uncertainty_score":0.003688335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549667641087532,"score_gpt":0.3789445957042221,"score_spread":0.3534479192933467,"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."}}