{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006710136,0.0002106619,0.0005494967,0.0002536593,0.0002969557,0.00007791627,0.000245875,0.00006332677,0.00007764444],"category_scores_gemma":[0.00005601843,0.0001771155,0.0002860707,0.00009635253,0.0001130004,0.0003436578,0.000003612531,0.0001929374,0.000004930353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013484,"about_ca_system_score_gemma":0.0002565935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521242,"about_ca_topic_score_gemma":0.00004363183,"domain_scores_codex":[0.9981998,0.00008192461,0.0007713606,0.0002258329,0.0004770941,0.0002439375],"domain_scores_gemma":[0.9980192,0.0001449585,0.0008668227,0.0002921422,0.0003249809,0.0003519528],"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":[0.02231645,0.0008519035,0.240685,0.005532904,0.0004746714,0.0004526445,0.01426465,0.0000927909,0.4931095,0.001316245,0.001145439,0.2197578],"study_design_scores_gemma":[0.006441832,0.003438436,0.8756437,0.0008638056,0.001201068,0.0008550615,0.0004779398,0.00009918327,0.1092628,0.0001673237,0.001182138,0.0003666685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7378609,0.00001045393,0.2557491,0.004856565,0.0002430995,0.0006126731,0.0002073784,0.0000371229,0.0004227029],"genre_scores_gemma":[0.9451295,0.002227942,0.05076352,0.001423062,0.0001862946,0.00001630373,0.0000746242,0.00003806286,0.0001406488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6349587,"threshold_uncertainty_score":0.7222559,"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."}}