{"id":"W2291048411","doi":"10.1002/em.22004","title":"Application of the TGx‐28.65 transcriptomic biomarker to classify genotoxic and non‐genotoxic chemicals in human TK6 cells in the presence of rat liver S9","year":2016,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"National Institute of Environmental Health Sciences; Health Canada","keywords":"Genotoxicity; Micronucleus; Transcriptome; Biomarker; Toxicogenomics; Biology; Micronucleus test; Carcinogen; DNA damage; Flow cytometry; Toxicity; Molecular biology; Chemistry; Gene; Genetics; Gene expression; DNA","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":[0.000164885,0.0003080422,0.0002639121,0.0003216425,0.0001215676,0.0002642371,0.00008600081,0.0002749869,0.0009164027],"category_scores_gemma":[0.0002339033,0.00013593,0.0003330501,0.0003169121,0.0001212676,0.0001025356,0.0001623051,0.0002088982,0.0003839076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980403,"about_ca_system_score_gemma":0.0002000701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087369,"about_ca_topic_score_gemma":0.002134308,"domain_scores_codex":[0.9998505,0.00001760431,0.00001340918,0.0000491272,0.00005207874,0.00001722929],"domain_scores_gemma":[0.9998909,0.00001741355,0.00003118083,0.00001030729,0.00003656693,0.00001351719],"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":[0.0000860412,0.000009053528,0.002283196,0.00002096896,0.000005059102,0.00001549107,0.00001668835,0.0001090582,0.9963685,0.00001006591,0.00001490091,0.001060888],"study_design_scores_gemma":[0.000009321707,0.000656915,0.03844481,0.000008434175,0.00003778429,0.0002044201,0.0001111601,0.001775849,0.9574038,0.00004192954,0.001297766,0.000007764378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892067,0.0006188528,0.006200364,0.00007565264,0.00001272832,0.0000657723,0.003153887,0.00006871954,0.0005973461],"genre_scores_gemma":[0.9784194,0.0006921447,0.01184101,0.00009888919,0.000005978975,0.0001074507,0.006269065,0.00001866792,0.002547413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001087369,"threshold_uncertainty_score":0.003065646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005215428374721841,"score_gpt":0.2117433215012595,"score_spread":0.2065278931265376,"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."}}