{"id":"W2755493083","doi":"10.1016/j.mrfmmm.2017.09.002","title":"Integration of the TGx-28.65 genomic biomarker with the flow cytometry micronucleus test to assess the genotoxicity of disperse orange and 1,2,4-benzenetriol in human TK6 cells","year":2017,"lang":"en","type":"article","venue":"Mutation research. Fundamental and molecular mechanisms of mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"Research and Development; Health Canada","keywords":"Genotoxicity; Micronucleus; Micronucleus test; DNA damage; Flow cytometry; Toxicogenomics; Biomarker; Comet assay; Context (archaeology); Gene; Chemistry; In vitro; Biology; Molecular biology; DNA; Genetics; Gene expression; Toxicity","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":[0.0003334361,0.0003879095,0.0002338411,0.0006314697,0.0001510477,0.0001908678,0.0002334036,0.0003906136,0.001306778],"category_scores_gemma":[0.0002021682,0.0001977044,0.0002319786,0.0002885426,0.0002443805,0.0001854949,0.0002723163,0.0003539614,0.0003121777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003064805,"about_ca_system_score_gemma":0.0004042186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001694526,"about_ca_topic_score_gemma":0.003417044,"domain_scores_codex":[0.9996618,0.00004814857,0.00003329386,0.0001021823,0.0001100922,0.00004450039],"domain_scores_gemma":[0.9998643,0.00002012975,0.00005328028,0.0000177668,0.00002917487,0.00001529176],"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":[0.00001616331,0.00002001061,0.0002054922,0.00001000261,0.00000222689,0.000006411275,0.000007490273,0.00005163992,0.9989253,0.00004048675,0.00001172363,0.000702982],"study_design_scores_gemma":[0.000008124135,0.0003045188,0.003750573,0.000003772968,0.00001310706,0.00006321772,0.00001305354,0.0008155473,0.9942368,0.0000419337,0.0007456014,0.000003693427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699466,0.0009784385,0.02577875,0.00009595772,0.00004137451,0.0002035672,0.0009324637,0.00020147,0.001821392],"genre_scores_gemma":[0.9639556,0.00086044,0.02657754,0.00008129559,0.000005525611,0.0003255373,0.002158366,0.00003648184,0.005999085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001694526,"threshold_uncertainty_score":0.004371583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039806886733756,"score_gpt":0.3270812643498054,"score_spread":0.2866831954824678,"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."}}