{"id":"W4324130019","doi":"10.1002/em.22537","title":"Letter to “Chepelev et al. Establishing a quantitative framework for regulatory interpretation of genetic toxicity dose–response data: Margin of exposure case study of 48 compounds with both in vivo mutagenicity and carcinogenicity dose–response data”","year":2023,"lang":"en","type":"letter","venue":"Environmental and Molecular Mutagenesis","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Micronucleus test; Carcinogen; In vivo; Potency; Micronucleus; Genotoxicity; Mutagenesis; Toxicology; Toxicity; Pharmacology; Biology; Mutagen; Chemistry; Genetics; In vitro; Mutation; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01348312,0.001081062,0.001656045,0.0007933469,0.002739549,0.004106718,0.00312182,0.02454923,0.005011185],"category_scores_gemma":[0.07953667,0.0008519913,0.001950092,0.0006245599,0.004185413,0.004397742,0.001859594,0.03573358,0.004180647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003143106,"about_ca_system_score_gemma":0.004463921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620814,"about_ca_topic_score_gemma":0.006436333,"domain_scores_codex":[0.9913505,0.002904947,0.001097255,0.001970217,0.002198464,0.0004785162],"domain_scores_gemma":[0.9531424,0.02834817,0.002166799,0.001108052,0.01298696,0.002247652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007969199,0.00002577844,0.0002836006,0.00008842274,0.00002198608,0.0002140964,0.0001364845,0.00005829862,0.0001314888,0.001140002,0.9913708,0.00644932],"study_design_scores_gemma":[0.00008967255,0.0000997854,0.0008404372,0.0004399691,0.00005591265,0.001196832,0.0004718114,0.0003634645,0.0006244262,0.006829654,0.9888678,0.0001203867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003253672,0.002054611,0.0005356072,0.9534829,0.04287118,0.00001932114,0.0001272299,0.0000611535,0.0005226842],"genre_scores_gemma":[0.002462385,0.001029931,0.000574481,0.9644563,0.02929374,0.0000635777,0.00002709163,0.00004073837,0.002051877],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02454923,"threshold_uncertainty_score":0.07130641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211374564698629,"score_gpt":0.2717056592106085,"score_spread":0.2505682027407456,"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."}}