{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006211245,0.0003178406,0.0008517657,0.00008957518,0.00009794607,0.00002167558,0.0001708513,0.0005172518,0.00009401546],"category_scores_gemma":[0.0003303263,0.0002930649,0.0007339091,0.0002364748,0.0001962789,0.0001051187,0.00002665341,0.0005071438,0.00001722585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006024949,"about_ca_system_score_gemma":0.000589508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002546576,"about_ca_topic_score_gemma":0.000007343069,"domain_scores_codex":[0.9973869,0.0002188569,0.001074327,0.0006607433,0.0002793554,0.000379845],"domain_scores_gemma":[0.9979643,0.0002930454,0.0002766895,0.000502498,0.0006954189,0.0002680719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005257496,0.001126772,0.8315148,0.002295006,0.0002797471,0.0007471602,0.0005014606,6.375323e-7,0.1538108,0.0004883808,0.0004177736,0.003559931],"study_design_scores_gemma":[0.01414328,0.004194906,0.1302546,0.0004401408,0.00165111,0.0001467002,0.00008449775,0.01048469,0.8362253,0.001083469,0.0007238519,0.000567553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888887,0.001058432,0.002967426,0.001497404,0.0003701466,0.004581935,0.0003763339,0.00005665362,0.0002029908],"genre_scores_gemma":[0.9726506,0.0005818706,0.02420705,0.000468707,0.0002045689,0.0003543723,0.001206354,0.0000567323,0.000269758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7012603,"threshold_uncertainty_score":0.9999521,"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."}}