{"id":"W2152488413","doi":"10.1002/em.21727","title":"Quantitative approaches for assessing dose–response relationships in genetic toxicology studies","year":2012,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Genotoxicity; Methyl methanesulfonate; Micronucleus test; Ethyl methanesulfonate; Toxicology; In vivo; Point of delivery; Risk assessment; Computational biology; Toxicogenomics; Biology; Mode of action; Pharmacology; Statistics; Genetics; Toxicity; Computer science; Mathematics; Medicine; Gene; Mutation; DNA repair; Gene expression; Internal medicine","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":[0.0004510658,0.0001747767,0.0001748944,0.00006580971,0.0001396616,0.00001659889,0.00006222464,0.0001200326,0.00000547855],"category_scores_gemma":[0.00006441172,0.0001749009,0.00007863202,0.00004156979,0.0001430457,0.0000107076,0.0001249346,0.00006288893,0.000004044545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000522689,"about_ca_system_score_gemma":0.00001754352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002488571,"about_ca_topic_score_gemma":0.000009428712,"domain_scores_codex":[0.9988264,0.0002694805,0.000196991,0.0003156758,0.00008868625,0.0003027971],"domain_scores_gemma":[0.9996026,0.00007515011,0.00006196135,0.0001672546,0.000004927364,0.00008808682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002329718,0.0001672296,0.04297965,0.00002060739,0.00009048828,0.000005355592,0.0004124738,0.0002457196,0.9537483,0.0001218043,0.00002018412,0.001955223],"study_design_scores_gemma":[0.0009626861,0.0004194743,0.7247996,0.000009204203,0.00008040853,0.00003755665,0.005327411,0.0002038144,0.2655571,0.0001095255,0.002123036,0.000370231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809988,0.01308506,0.005264325,0.0001281648,0.0000686482,0.0003966433,0.00002593261,0.000004727409,0.00002770109],"genre_scores_gemma":[0.9892736,0.0003101703,0.009849908,0.0001665149,0.00004334237,0.0001811077,0.00006486401,0.00002556854,0.00008489185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6881912,"threshold_uncertainty_score":0.7132251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07167322889074622,"score_gpt":0.3091444765778238,"score_spread":0.2374712476870776,"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."}}