{"id":"W3012888978","doi":"10.1186/s41021-019-0139-2","title":"Flow cytometric micronucleus assay and TGx-DDI transcriptomic biomarker analysis of ten genotoxic and non-genotoxic chemicals in human HepaRG™ cells","year":2020,"lang":"en","type":"article","venue":"Genes and Environment","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Genotoxicity; Micronucleus test; Transcriptome; Flow cytometry; Micronucleus; Biomarker; Biology; In vitro; Toxicity; Computational biology; Molecular biology; Gene; Chemistry; Gene expression; Biochemistry","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":[0.0005395218,0.000546121,0.0004283529,0.0007860655,0.0002675803,0.0002965587,0.0002243263,0.0005414209,0.001369109],"category_scores_gemma":[0.0004954538,0.0001881991,0.0005042886,0.0007208995,0.0003302925,0.000191339,0.0002846075,0.0003862832,0.0004208488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830067,"about_ca_system_score_gemma":0.0003841653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283744,"about_ca_topic_score_gemma":0.002307674,"domain_scores_codex":[0.9993414,0.00006103307,0.00006380017,0.0002325535,0.0002498273,0.00005131575],"domain_scores_gemma":[0.9996514,0.00007553142,0.00008398037,0.00003013707,0.0001399169,0.00001901757],"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":[0.0001254219,0.0000353906,0.004146372,0.00009985382,0.00002215203,0.00003897721,0.00007596637,0.0003479871,0.9910834,0.00005337837,0.00007179358,0.003899324],"study_design_scores_gemma":[0.000008586443,0.0007273806,0.02912145,0.00001445863,0.00005912094,0.0002062841,0.0001004589,0.001413336,0.9663345,0.0001049336,0.001892864,0.00001657159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506283,0.002228535,0.03693477,0.0001885942,0.00006859928,0.0004039744,0.006826677,0.0003073618,0.002413255],"genre_scores_gemma":[0.9245321,0.002461395,0.05473732,0.0002903685,0.00003073832,0.001155616,0.01030416,0.00005491175,0.006433453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369109,"threshold_uncertainty_score":0.00458014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057661524622945,"score_gpt":0.2232592171276739,"score_spread":0.2126826018814444,"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."}}