{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001978707,0.0001588446,0.0001672831,0.00004719887,0.00004264678,0.000006967569,0.0002274742,0.0001094207,0.00001113031],"category_scores_gemma":[0.000004533522,0.00009985622,0.00008052171,0.00008044764,0.000221606,0.000005000303,0.0001631217,0.00004518709,0.000001341638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002536817,"about_ca_system_score_gemma":0.00001180213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006274048,"about_ca_topic_score_gemma":0.00006729484,"domain_scores_codex":[0.9989204,0.0001049869,0.0002634953,0.0003603119,0.0001684016,0.0001824105],"domain_scores_gemma":[0.9994732,0.00001595193,0.00007893246,0.0003769994,0.000004470437,0.00005043742],"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":[0.00004154216,0.0001207824,0.007958101,0.00002717156,0.0000174029,0.000002959564,0.0002086723,0.00001230865,0.9889163,0.000008416127,0.00002425554,0.002662065],"study_design_scores_gemma":[0.0004768564,0.0000839116,0.1433979,0.00001712016,0.00002023739,0.000004979659,0.0001070825,0.00002540191,0.8551275,0.00001663588,0.000605987,0.0001164962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969093,0.0007869077,0.001305308,0.0001863673,0.00002014092,0.0007163522,0.00004973954,0.000001248019,0.00002468974],"genre_scores_gemma":[0.9990655,0.0003828011,0.0001165332,0.0002511951,0.00001093631,0.00009307756,0.00001045381,0.00001517544,0.00005431971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354398,"threshold_uncertainty_score":0.4072018,"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."}}