{"id":"W3105134800","doi":"10.1007/s00423-020-02014-7","title":"Ex vivo machine perfusion: current applications and future directions in liver transplantation","year":2020,"lang":"en","type":"review","venue":"Langenbeck s Archives of Surgery","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto East General Hospital; Toronto General Hospital","funders":"","keywords":"Ex vivo; Machine perfusion; Liver transplantation; Perfusion; Medicine; Economic shortage; Transplantation; In vivo; Clinical trial; Liver disease; Surgery; Pathology; Radiology; Internal medicine; Biology; Biotechnology","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":[0.00007333968,0.0002662405,0.001194178,0.000466902,0.00004195593,0.000008526516,0.00007035027,0.0001112331,0.0001169109],"category_scores_gemma":[0.000006841811,0.0002133945,0.0003721217,0.0003243667,0.00006972224,0.00004118034,0.00001817716,0.0003587883,0.000007747523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739639,"about_ca_system_score_gemma":0.0001287956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004050091,"about_ca_topic_score_gemma":0.00003904083,"domain_scores_codex":[0.9987285,0.00008759862,0.0005661891,0.0003198766,0.0001471821,0.0001507243],"domain_scores_gemma":[0.9990004,0.0004784642,0.0001953918,0.0001912654,0.00001411168,0.00012039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003093875,0.00007602973,0.0008023065,0.04582125,0.00003999634,0.00006959945,0.0004311962,1.357281e-8,0.000002978825,0.0000939012,0.00007284589,0.9525589],"study_design_scores_gemma":[0.0001496771,0.00001817008,0.003230353,0.005330143,0.0008899401,0.0002272368,0.000014993,0.000007249406,0.0000185922,0.00001874482,0.9899101,0.0001847464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003178434,0.9970436,0.0003690931,0.0002015559,0.0001087267,0.0008473116,0.0005187685,0.00008304593,0.0007960777],"genre_scores_gemma":[0.00002870141,0.9976768,0.0008096488,0.00003225586,0.0003629084,0.0001381532,0.0008357191,0.00004082819,0.00007501747],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9898373,"threshold_uncertainty_score":0.8701975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03642402416174111,"score_gpt":0.3110393010420896,"score_spread":0.2746152768803485,"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."}}