{"id":"W2214265996","doi":"10.1007/s00216-015-9202-4","title":"An in vitro metabolomics approach to identify hepatotoxicity biomarkers in human L02 liver cells treated with pekinenal, a natural compound","year":2015,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Drug-Induced Hepatotoxicity and Protection","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Six Talent Peaks Project in Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Metabolomics; Arachidonic acid; Chemistry; Apoptosis; Pharmacology; Biochemistry; Cell; Fatty acid; Intracellular; In vitro; Biology; Enzyme; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001434523,0.0004009406,0.0002287331,0.0003524366,0.0002134426,0.0002197373,0.0001510425,0.0002613854,0.0008388074],"category_scores_gemma":[0.0001182337,0.0001600674,0.0003562504,0.0002806141,0.0001223882,0.0001797993,0.0001952866,0.0004042768,0.0002642122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115585,"about_ca_system_score_gemma":0.0002883702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789008,"about_ca_topic_score_gemma":0.004249255,"domain_scores_codex":[0.9998977,0.00002261102,0.000007478776,0.00003147998,0.00002589547,0.00001478491],"domain_scores_gemma":[0.9999512,0.00001049287,0.000007998986,0.000006824795,0.0000173542,0.000006097576],"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":[0.0001254482,0.00003309482,0.000257111,0.00002147803,0.000008690587,0.00001943221,0.000007908155,0.00007058269,0.9982989,0.00001888092,0.00001828662,0.001120127],"study_design_scores_gemma":[0.00001242623,0.0005313513,0.005189703,0.000002482276,0.0000370949,0.0001058271,0.00002930343,0.001301021,0.991815,0.00002655917,0.0009423755,0.000006804235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964283,0.002488123,0.0272484,0.0002119955,0.00006482253,0.000251182,0.002818488,0.0001693276,0.002464512],"genre_scores_gemma":[0.9626635,0.001625254,0.02708595,0.0002381838,0.00001925055,0.0003127071,0.002501454,0.0000219357,0.005531781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001789008,"threshold_uncertainty_score":0.003557265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019839677758346,"score_gpt":0.392646098124425,"score_spread":0.2906621303485904,"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."}}