{"id":"W3213048077","doi":"10.1186/s12014-021-09333-x","title":"Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan","year":2021,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Liver Foundation; Canada Foundation for Innovation; Toronto General and Western Hospital Foundation; American Society of Transplantation","keywords":"Hepatocellular carcinoma; Milan criteria; Gene signature; Univariate analysis; Transcriptome; Liver transplantation; Cirrhosis; Context (archaeology); Internal medicine; Medicine; Transplantation; Oncology; Cancer research; Gastroenterology; Biology; Gene; Multivariate analysis; Gene expression; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001868809,0.0002004866,0.0003214954,0.0006955509,0.0001794913,0.0003598711,0.0001003795,0.0001781738,0.0007350445],"category_scores_gemma":[0.0003246005,0.00007650398,0.0002587008,0.0005708761,0.0001467056,0.0001271527,0.0002667283,0.0002464184,0.0001782535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172,"about_ca_system_score_gemma":0.0001292546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002768385,"about_ca_topic_score_gemma":0.000413118,"domain_scores_codex":[0.9998945,0.00001742112,0.00000778727,0.00002827376,0.00002986145,0.00002207539],"domain_scores_gemma":[0.999715,0.00005193827,0.0001273431,0.00001406858,0.0000413657,0.00005015093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002125314,0.0001086872,0.5759958,0.0001345389,0.0001918496,0.0006764433,0.0001658825,0.0004791894,0.4069846,0.00006022502,0.000316075,0.01276134],"study_design_scores_gemma":[0.00001007779,0.000360836,0.9755986,0.000005918259,0.0001305166,0.0011612,0.000151087,0.001765465,0.02036168,0.00008272716,0.0003626165,0.000009408055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985939,0.0003800236,0.0004481079,0.000037007,0.000003736049,0.000005935118,0.0003375267,0.00001333325,0.0001804674],"genre_scores_gemma":[0.9984805,0.0001472672,0.0005086199,0.00002329297,0.000009074483,0.00001124797,0.0006579998,0.000003043072,0.0001590626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007350445,"threshold_uncertainty_score":0.00245899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06900307976314095,"score_gpt":0.3009548461175819,"score_spread":0.231951766354441,"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."}}