{"id":"W2281632244","doi":"10.1038/srep19763","title":"Phenotypic Characterization Analysis of Human Hepatocarcinoma by Urine Metabolomics Approach","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Chinese People’s Liberation Army; Heilongjiang University of Chinese Medicine; Heilongjiang University","keywords":"Metabolomics; Diagnostic biomarker; Ingenuity; Urine; Medicine; Pathway analysis; Receiver operating characteristic; Metabolome; Computational biology; Biomarker discovery; Biomarker; Bioinformatics; Internal medicine; Biology; Diagnostic accuracy; Proteomics; Biochemistry","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":[0.0006245018,0.0001379944,0.0003315479,0.0002436536,0.000138062,0.00003429884,0.0001333,0.00007107988,0.00005055283],"category_scores_gemma":[0.00007497437,0.00009720844,0.0001850483,0.0006537277,0.0002011696,0.000007467115,0.0001250293,0.00002613602,0.000001199998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001106429,"about_ca_system_score_gemma":0.00003171278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008128127,"about_ca_topic_score_gemma":0.000007340344,"domain_scores_codex":[0.998419,0.0000393893,0.0004490234,0.0006610333,0.0002179527,0.0002135454],"domain_scores_gemma":[0.9986017,0.000004333506,0.0003948104,0.0007716357,0.0001642574,0.00006320448],"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":[0.000007911112,0.00008143314,0.04261732,0.000006585655,0.0004529108,0.000001422628,0.00001831835,0.000001480005,0.9550517,0.0002329618,0.001022111,0.0005058786],"study_design_scores_gemma":[0.0001767607,0.00005889657,0.04460034,0.000002860771,0.0004562722,0.000006497076,0.00001564797,0.00004467119,0.929012,0.0002888808,0.02514303,0.0001941625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905496,0.0004196328,0.007588223,0.00003466855,0.0005709769,0.0001438099,0.00004885041,0.000009668738,0.0006345956],"genre_scores_gemma":[0.9943045,0.00007206647,0.000324739,0.00001443257,0.00005037937,0.00001794955,0.001091674,0.00001218187,0.004112102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02603969,"threshold_uncertainty_score":0.3964045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042625063748587,"score_gpt":0.2325968857158595,"score_spread":0.2221706350783737,"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."}}