{"id":"W4311018574","doi":"10.1002/em.22521","title":"Quantitative in vitro to in vivo extrapolation of genotoxicity data provides protective estimates of in vivo dose","year":2022,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Genotoxicity; Micronucleus test; In vivo; Context (archaeology); In vitro toxicology; Pharmacology; Toxicology; Biology; Computational biology; Toxicity; Chemistry; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008184863,0.002600296,0.001231236,0.002643689,0.000508509,0.001888225,0.001238262,0.00162525,0.003915218],"category_scores_gemma":[0.008058747,0.000620192,0.001105497,0.001434882,0.001185072,0.001466515,0.001880756,0.002792213,0.001768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014601,"about_ca_system_score_gemma":0.0009900886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877189,"about_ca_topic_score_gemma":0.00274563,"domain_scores_codex":[0.9928321,0.002524638,0.0006646506,0.001121942,0.002646534,0.0002101412],"domain_scores_gemma":[0.9883515,0.003027542,0.002608178,0.003094206,0.002716706,0.0002017591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008304115,0.0006628833,0.0201675,0.001279158,0.000221348,0.0001942566,0.0003712932,0.01044447,0.9070792,0.001669398,0.0008884683,0.05619154],"study_design_scores_gemma":[0.000032732,0.005187644,0.02912913,0.0001977388,0.000240946,0.00045492,0.0003426886,0.00624397,0.944257,0.001755621,0.01208343,0.00007418175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4153783,0.01745103,0.5269497,0.001225947,0.0003364849,0.002052526,0.01119559,0.0015146,0.02389577],"genre_scores_gemma":[0.8937533,0.007008068,0.08429073,0.0008912006,0.00008188668,0.0008894312,0.005126926,0.0002611913,0.007697183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008184863,"threshold_uncertainty_score":0.0432862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461778387552431,"score_gpt":0.2611186156468012,"score_spread":0.2465008317712769,"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."}}