{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002708862,0.0001356548,0.0002108174,0.0001486421,0.0000314356,0.000004226841,0.0001730131,0.00004812309,0.00003404219],"category_scores_gemma":[0.00002162436,0.0001526697,0.00003717052,0.0001365403,0.00006997648,0.000008733939,0.0005628831,0.00006808087,2.208413e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006555476,"about_ca_system_score_gemma":0.0000285696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005660488,"about_ca_topic_score_gemma":0.0002781538,"domain_scores_codex":[0.998827,0.0001258213,0.00028627,0.0004247195,0.0001723583,0.0001637675],"domain_scores_gemma":[0.9995594,0.00001432702,0.00009174458,0.0002922994,0.000003926878,0.00003832719],"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":[0.0005060912,0.0003464228,0.01338947,0.00003164982,0.00002117149,0.00001904126,0.0004310128,0.001953929,0.9823848,0.00001036087,0.000003229767,0.0009027977],"study_design_scores_gemma":[0.0005929637,0.0004365169,0.04415444,0.000009080453,0.00001020928,0.000004416884,0.0009555457,0.001010359,0.9525373,0.00004787618,0.00009452276,0.0001467446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967682,0.0006789464,0.001088876,0.00003271562,0.00001308677,0.0008031114,0.000587664,0.000001519697,0.00002587891],"genre_scores_gemma":[0.9967865,0.00004632603,0.002833187,0.00005219036,0.000003692182,0.0001478774,0.0001059209,0.00001469027,0.000009571537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03076497,"threshold_uncertainty_score":0.622569,"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."}}