{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009186227,0.0001627384,0.0001999861,0.0001274687,0.000416651,0.00007999568,0.0004444916,0.00009151111,0.00001179973],"category_scores_gemma":[0.00008095562,0.00009526806,0.00008390422,0.0001937526,0.0004404071,0.000011257,0.0004964244,0.0001133408,3.887263e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003243858,"about_ca_system_score_gemma":0.00007227249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005886809,"about_ca_topic_score_gemma":0.001339803,"domain_scores_codex":[0.9985186,0.0002442292,0.0002693142,0.0003286194,0.0004130236,0.000226187],"domain_scores_gemma":[0.9988924,0.00006505274,0.0002153931,0.0005860775,0.0001752074,0.00006589774],"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":[0.0001332126,0.0001258534,0.001234634,0.00005562666,0.00006500128,0.000005131293,0.0003061214,0.00008273716,0.9957379,0.0001537067,0.00001854241,0.002081493],"study_design_scores_gemma":[0.000565278,0.0005747901,0.08297942,0.00003926309,0.00003391353,0.000007862771,0.001987916,0.0002948282,0.9132731,0.00008492064,0.00005435823,0.0001043558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926013,0.0002239298,0.005564874,0.0004214048,0.00002885597,0.0009490461,0.0001537743,0.000001798501,0.00005502631],"genre_scores_gemma":[0.9987132,0.00007091998,0.0009597652,0.0001020016,0.00001178566,0.00005431748,0.00002075477,0.00002087136,0.00004641126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08246484,"threshold_uncertainty_score":0.3884919,"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."}}