{"id":"W4392627025","doi":"10.1097/txd.0000000000001601","title":"Can We Predict Kidney Graft Function and Graft Survival Using Hypothermic Machine Perfusion Parameters From Donors After Circulatory Death?","year":2024,"lang":"en","type":"article","venue":"Transplantation Direct","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; University of Manitoba; Western University","funders":"","keywords":"Machine perfusion; Medicine; Kidney; Circulatory system; Perfusion; Kidney transplantation; Analysis of variance; Surgery; Cardiology; Internal medicine; Urology; Transplantation","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":[0.001189539,0.000337882,0.0003982241,0.0004605326,0.0001070553,0.0006249535,0.0002143242,0.0002838522,0.0009676588],"category_scores_gemma":[0.004478624,0.00007116645,0.0003218818,0.0003366014,0.000302784,0.0006789694,0.0002673706,0.0004962213,0.0002553838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572634,"about_ca_system_score_gemma":0.0002565956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003027231,"about_ca_topic_score_gemma":0.0004097676,"domain_scores_codex":[0.9997688,0.0000916167,0.00002374242,0.00003853202,0.00004915131,0.00002820369],"domain_scores_gemma":[0.9976479,0.0009692688,0.0009016646,0.0001035826,0.0001810532,0.0001964752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007116226,0.00008899317,0.9643496,0.00006640847,0.0001147267,0.00005450752,0.00006286929,0.0006273565,0.00182157,0.00004502262,0.0001662824,0.03189099],"study_design_scores_gemma":[0.00001957083,0.0009523237,0.9909928,0.00007360128,0.0001740384,0.0005934266,0.0001312244,0.00337289,0.00272695,0.0004287065,0.0005116733,0.00002281412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994944,0.001635625,0.002589538,0.0001359627,0.00002475241,0.000008534666,0.0001588361,0.00001976167,0.0004829169],"genre_scores_gemma":[0.9986956,0.0003660392,0.0007062205,0.00002009993,0.00002667652,0.000006947773,0.000112167,0.000002995047,0.00006331534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001189539,"threshold_uncertainty_score":0.006290972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869794859112722,"score_gpt":0.2532239103929457,"score_spread":0.2345259618018184,"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."}}