{"id":"W2806165623","doi":"10.18632/oncotarget.25525","title":"Metabolite profiling identifies a signature of tumorigenicity in hepatocellular carcinoma","year":2018,"lang":"en","type":"article","venue":"Oncotarget","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Glycolysis; Cancer research; Hepatocellular carcinoma; Metabolite; Anaerobic glycolysis; Biology; Metabolome; Metabolomics; Cancer cell; Hypoxia (environmental); Endocrinology; Internal medicine; Medicine; Cancer; Metabolism; Chemistry; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0000754897,0.0001970063,0.0001975186,0.0005375348,0.0001428463,0.000464391,0.00009812082,0.0001632368,0.0006799433],"category_scores_gemma":[0.0001601204,0.00009954067,0.0001418803,0.0005333679,0.0001216246,0.000112419,0.0002198932,0.0001866654,0.000219152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347867,"about_ca_system_score_gemma":0.0002416663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566608,"about_ca_topic_score_gemma":0.006220761,"domain_scores_codex":[0.9999471,0.000007116594,0.000003229644,0.00001054877,0.00002036776,0.00001167671],"domain_scores_gemma":[0.9999155,0.000008945433,0.00002623266,0.000005771266,0.00002617825,0.00001733709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004506136,0.00003510555,0.04205499,0.00007827736,0.00003663482,0.0002673354,0.00006791631,0.000230441,0.9443584,0.0001294036,0.00035375,0.01193724],"study_design_scores_gemma":[0.00002577856,0.0003912034,0.7368646,0.00002896109,0.00009080007,0.001647669,0.000382883,0.003608049,0.2521025,0.0005045962,0.004324567,0.00002826359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916027,0.002479082,0.002348793,0.0002929865,0.00001362592,0.00002955981,0.00146301,0.00008176654,0.001688496],"genre_scores_gemma":[0.9930992,0.001360855,0.002203965,0.0001170305,0.000009808745,0.00001897095,0.001871349,0.00002191972,0.001296782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003566608,"threshold_uncertainty_score":0.007091641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009873400181257656,"score_gpt":0.2472423591079861,"score_spread":0.2373689589267284,"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."}}