{"id":"W3193856759","doi":"10.3389/fpubh.2021.694834","title":"A Modern Genotoxicity Testing Paradigm: Integration of the High-Throughput CometChip® and the TGx-DDI Transcriptomic Biomarker in Human HepaRG™ Cell Cultures","year":2021,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Canada Research Chairs; National Institute of Environmental Health Sciences; Health Canada; University of Ottawa","keywords":"Genotoxicity; DNA damage; Biomarker; Biology; Toxicogenomics; Transcriptome; Computational biology; Chemistry; DNA; Gene; Gene expression; Biochemistry; 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":[0.002547296,0.0009239933,0.0009393458,0.0008431487,0.000274075,0.001391907,0.0008298857,0.001274862,0.001261309],"category_scores_gemma":[0.001847059,0.0005815235,0.0007635844,0.0006685172,0.0008148114,0.001161465,0.001092276,0.001897062,0.000910275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203567,"about_ca_system_score_gemma":0.0005552174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000669324,"about_ca_topic_score_gemma":0.001497997,"domain_scores_codex":[0.9972687,0.0007108229,0.000143464,0.0006454979,0.001119639,0.0001119033],"domain_scores_gemma":[0.9983095,0.0004372626,0.0002571126,0.0002974287,0.0005996532,0.00009912821],"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":[0.00008071093,0.00004354576,0.001245132,0.0001834272,0.00003802928,0.0000374029,0.00006475245,0.0005441288,0.9877263,0.0003068305,0.0001979194,0.009531869],"study_design_scores_gemma":[0.00001295133,0.00108426,0.00588448,0.00003514938,0.00008478311,0.0004243524,0.00009253046,0.005504391,0.9785439,0.001010556,0.007268738,0.00005383477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2456052,0.006581863,0.7357692,0.002236919,0.0005428323,0.0006765277,0.002215031,0.00227139,0.004101022],"genre_scores_gemma":[0.547316,0.007734757,0.4273869,0.003027201,0.000371393,0.001125252,0.00368051,0.0002667307,0.009091227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002547296,"threshold_uncertainty_score":0.01347154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973392595107859,"score_gpt":0.2826486004680811,"score_spread":0.2529146745170025,"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."}}