{"id":"W4405017363","doi":"10.1002/em.22640","title":"Evaluation of the standard battery of in vitro genotoxicity tests to predict in vivo genotoxicity through mathematical modeling: A report from the 8th <scp>International Workshop</scp> on <scp>Genotoxicity Testing</scp>","year":2024,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Ministerie van Landbouw, Natuur en Voedselkwaliteit; Ministerie van Volksgezondheid, Welzijn en Sport","keywords":"Genotoxicity; Ames test; Clastogen; Context (archaeology); In vivo; Computational biology; Micronucleus test; Gene mutation; Pharmacology; Biology; Genetics; Toxicology; Mutation; Chemistry; Toxicity; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001246987,0.0003332829,0.0003514251,0.00008374315,0.000081942,0.00004596114,0.0003918727,0.0002066914,0.00003056243],"category_scores_gemma":[0.0006919707,0.0002523165,0.0002068316,0.0002195816,0.0001722962,0.00001604871,0.0004838693,0.0002181656,0.000004400571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131569,"about_ca_system_score_gemma":0.0001475717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001267989,"about_ca_topic_score_gemma":0.00007731457,"domain_scores_codex":[0.996743,0.0003156148,0.0006761185,0.0007629235,0.001166275,0.0003360425],"domain_scores_gemma":[0.998803,0.0002401636,0.0001706372,0.0006449766,0.00005076282,0.0000904801],"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":[0.00003720659,0.00028163,0.004179765,0.00002918685,0.0001508357,0.00004286156,0.0005629715,0.01671403,0.976677,0.000009306022,0.0001247957,0.001190408],"study_design_scores_gemma":[0.0005625169,0.00016536,0.02348126,0.0001259159,0.0001493349,0.00003702403,0.0004581099,0.01663512,0.9572699,0.0005456904,0.0004737333,0.00009602689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897185,0.00105594,0.006668455,0.0001482956,0.0001190355,0.001125753,0.0007252254,0.00001015769,0.0004286644],"genre_scores_gemma":[0.9979119,0.00007438238,0.001232918,0.0003078989,0.00009174706,0.000147419,0.00009046879,0.0000434562,0.00009984161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940709,"threshold_uncertainty_score":0.9999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227491897722004,"score_gpt":0.2710848319316779,"score_spread":0.2483356421594775,"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."}}