{"id":"W3205544689","doi":"10.1016/j.jhep.2021.10.004","title":"A multicentre outcome analysis to define global benchmarks for donation after circulatory death liver transplantation","year":2021,"lang":"en","type":"article","venue":"Journal of Hepatology","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Università degli Studi di Firenze; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Liver transplantation; Donation; Benchmarking; Percentile; Complication; Surgery; Transplantation; Ischemia; Internal medicine; Statistics","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":[0.0001709898,0.0001095169,0.0004599392,0.0002293304,0.00002984098,0.00001052742,0.00004996241,0.0001193875,0.0003597412],"category_scores_gemma":[0.00006919765,0.00009319417,0.0003763696,0.0003197098,0.00001245649,0.00007703096,0.000005113,0.0001016433,0.000003740062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361609,"about_ca_system_score_gemma":0.0001273194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001924247,"about_ca_topic_score_gemma":0.0002929877,"domain_scores_codex":[0.9988869,0.00005189592,0.0005582861,0.0001459702,0.0001968822,0.0001600822],"domain_scores_gemma":[0.9990527,0.0000923482,0.0001788466,0.000106874,0.0004353433,0.0001338742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007857216,0.0001044238,0.9956452,0.000250478,0.0005125268,0.001044128,0.0002575851,0.00003052722,0.0003739435,0.0002298161,0.000120249,0.0006453507],"study_design_scores_gemma":[0.002059587,0.0002056479,0.9850349,0.00003477776,0.004887349,0.00223347,0.0000523509,0.0003171739,0.004202858,0.0001075363,0.0007557361,0.0001086359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147007,0.0005272569,0.08201798,0.002214301,0.0001718452,0.0001840383,0.0000614173,0.00001316402,0.0001092618],"genre_scores_gemma":[0.9678729,0.0004452832,0.0294218,0.002054377,0.00006567132,0.000007517655,0.00008982324,0.000007840331,0.00003481142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05317215,"threshold_uncertainty_score":0.3938914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055976884775894,"score_gpt":0.3228577590226659,"score_spread":0.3022979901749069,"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."}}