{"id":"W4309504590","doi":"10.22541/au.166906427.70641401/v1","title":"Quantitative in vitro to in vivo Extrapolation (IVIVE) of Genotoxicity Data Provides Protective Estimates of in vivo Dose","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Genotoxicity; Micronucleus test; Context (archaeology); In vivo; Physiologically based pharmacokinetic modelling; In vitro toxicology; Pharmacology; Computational biology; Toxicology; Biology; Chemistry; Toxicity; Biotechnology; Pharmacokinetics","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":[0.007691395,0.001960516,0.001110692,0.001784004,0.0004757706,0.001405811,0.001083655,0.001152501,0.002755153],"category_scores_gemma":[0.007573749,0.0004955218,0.001294867,0.001230575,0.001087388,0.001016806,0.001516973,0.002460738,0.001289893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007488925,"about_ca_system_score_gemma":0.00081674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647451,"about_ca_topic_score_gemma":0.002415077,"domain_scores_codex":[0.9934,0.002380667,0.0005941355,0.0009779744,0.002459581,0.000187626],"domain_scores_gemma":[0.9899222,0.002533166,0.002010717,0.003158729,0.002219952,0.0001551518],"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":[0.0009756233,0.0006667372,0.02665535,0.001410173,0.0002862294,0.0002634262,0.0005013361,0.00870556,0.8815129,0.001890954,0.001243467,0.07588824],"study_design_scores_gemma":[0.00002383241,0.00390089,0.01977555,0.0001402043,0.0001996927,0.0004231205,0.0002510782,0.00403103,0.9590129,0.001125165,0.01106065,0.00005596091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4923555,0.01149473,0.4568318,0.0008092289,0.0003511481,0.002004453,0.009227811,0.001722469,0.02520284],"genre_scores_gemma":[0.8739555,0.005973085,0.1020312,0.0008632464,0.00005764969,0.001056626,0.005242927,0.0003677558,0.01045203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007691395,"threshold_uncertainty_score":0.04067647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569196704457052,"score_gpt":0.3422250405865495,"score_spread":0.296533073541979,"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."}}