{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005737616,0.0007385021,0.003522983,0.003864766,0.0002532761,0.002223779,0.000960983,0.001696403,0.003589819],"category_scores_gemma":[0.008936595,0.0003703652,0.003067149,0.004434014,0.0008670068,0.002466979,0.0007272457,0.001351807,0.0004765002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055828,"about_ca_system_score_gemma":0.003574264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487387,"about_ca_topic_score_gemma":0.002840583,"domain_scores_codex":[0.9977774,0.0008299136,0.0006626802,0.0001686833,0.0004718025,0.00008954856],"domain_scores_gemma":[0.9862925,0.01110343,0.001446526,0.0001827586,0.0008728013,0.000101984],"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":[0.0002775774,0.00006926018,0.0004613689,0.4174708,0.001187726,0.0001303926,0.0001250525,0.0002800684,0.0007061277,0.001942606,0.004723713,0.5726253],"study_design_scores_gemma":[0.0002998782,0.0008792635,0.006051077,0.5144309,0.01181411,0.002602616,0.0005462705,0.0003870492,0.001217745,0.005357295,0.456301,0.0001127293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000588446,0.9997032,0.00003294216,0.0000963563,0.00003240723,0.000004225074,0.000006961048,0.000001177823,0.00006395049],"genre_scores_gemma":[0.0008308525,0.9987953,0.0001384365,0.0001255153,0.00005229497,0.00001154977,0.00001293107,9.149084e-7,0.00003222749],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005737616,"threshold_uncertainty_score":0.03034377,"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."}}