{"id":"W2007973078","doi":"10.1080/15459620590916198","title":"Evaluation of Potential Toxicity from Co-Exposure to Three CNS Depressants (Toluene, Ethylbenzene, and Xylene) Under Resting and Working Conditions Using PBPK Modeling","year":2005,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Hygiene","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Workplace Health, Safety and Compensation Commission","funders":"Agency for Toxic Substances and Disease Registry; National Institute of Environmental Health Sciences","keywords":"Physiologically based pharmacokinetic modelling; Ethylbenzene; Threshold limit value; Occupational exposure limit; Toluene; Chemistry; Occupational exposure; Toxicokinetics; Pharmacokinetics; Toxicology; Xylene; Inhalation exposure; Environmental chemistry; Toxicity; Pharmacology; Environmental health; Medicine; Organic chemistry","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":[0.000684813,0.0006882062,0.0006191632,0.0003614563,0.0003378802,0.0006732323,0.0004787488,0.0005200382,0.0007516479],"category_scores_gemma":[0.0006978339,0.0002441304,0.001147064,0.0003581316,0.0002352076,0.0003107162,0.0004176753,0.0006111381,0.0001813375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005943337,"about_ca_system_score_gemma":0.0007535696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005907624,"about_ca_topic_score_gemma":0.005181718,"domain_scores_codex":[0.9995269,0.0001175116,0.00003215114,0.00008449479,0.0001912659,0.00004772544],"domain_scores_gemma":[0.9995729,0.0001746864,0.00009250948,0.00003567357,0.00009648847,0.00002773491],"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":[0.003483618,0.001674216,0.05674619,0.000903257,0.0005333899,0.001055007,0.0004242182,0.1206684,0.7725964,0.0005640069,0.0005140143,0.04083733],"study_design_scores_gemma":[0.0001098628,0.02852178,0.07897134,0.0000671332,0.0009253424,0.00108098,0.0004701589,0.2119069,0.6742663,0.0007763188,0.002795345,0.0001085603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875865,0.0005503111,0.01000556,0.00003936188,0.00001232935,0.0001826732,0.0004269936,0.00004945125,0.001146797],"genre_scores_gemma":[0.9908283,0.001231181,0.005934693,0.0000443502,0.000007567797,0.0002394789,0.0005074656,0.00002212937,0.001184838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005907624,"threshold_uncertainty_score":0.01174647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05526296185822826,"score_gpt":0.3206249218360095,"score_spread":0.2653619599777812,"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."}}