{"id":"W2604121480","doi":"10.1111/ajt.14294","title":"Normothermic Ex Vivo Kidney Perfusion Following Static Cold Storage—Brief, Intermediate, or Prolonged Perfusion for Optimal Renal Graft Reconditioning?","year":2017,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Hospital for Sick Children; University of Toronto","funders":"LivaNova; Canadian Donation and Transplantation Research Program","keywords":"Medicine; Machine perfusion; Cold storage; Perfusion; Ex vivo; Kidney; Transplantation; Kidney transplantation; Autotransplantation; Urology; Viaspan; Surgery; Anesthesia; In vivo; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005002641,0.0002392964,0.0005820154,0.0002782696,0.0003948692,0.00009985698,0.0002396809,0.00007865536,0.0001831167],"category_scores_gemma":[0.0001306378,0.0001852615,0.0003294447,0.00009851683,0.0001788493,0.0005334755,0.000007339928,0.0002893728,0.000003698709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102669,"about_ca_system_score_gemma":0.0003203938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004713142,"about_ca_topic_score_gemma":0.00002882239,"domain_scores_codex":[0.9982807,0.00008118545,0.0007102023,0.0002364949,0.0004065762,0.0002848649],"domain_scores_gemma":[0.9980389,0.0001749265,0.001038208,0.0002408813,0.0002234921,0.0002835823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.04342181,0.001021386,0.1028779,0.003808669,0.000999525,0.003623773,0.02312906,0.0002950487,0.7551576,0.0001181619,0.005939003,0.059608],"study_design_scores_gemma":[0.04605421,0.03907209,0.3920651,0.01032385,0.007718835,0.006516017,0.003735069,0.004166025,0.4834687,0.0001664912,0.00483285,0.001880705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433344,0.00002496742,0.05393115,0.001417195,0.0003756321,0.000620615,0.0001494934,0.00004863804,0.00009792991],"genre_scores_gemma":[0.9781154,0.0009620054,0.01932668,0.000767804,0.0002275602,0.00002185654,0.000105666,0.00005512113,0.0004178511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2891872,"threshold_uncertainty_score":0.7554744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283801582762605,"score_gpt":0.2995784661226003,"score_spread":0.2867404502949742,"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."}}