{"id":"W2120843286","doi":"10.1093/toxsci/kfv009","title":"Human Inhalation Exposures to Toluene, Ethylbenzene, and M-Xylene and Physiologically Based Pharmacokinetic Modeling of Exposure Biomarkers in Exhaled Air, Blood, and Urine","year":2015,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Health Canada","funders":"","keywords":"Toxicokinetics; Ethylbenzene; Chemistry; Inhalation; Urine; Physiologically based pharmacokinetic modelling; Inhalation exposure; Chromatography; Toluene; Biomonitoring; Pharmacokinetics; Xylene; Hippuric acid; Metabolite; Excretion; Environmental chemistry; Pharmacology; Metabolism; Biochemistry; Organic chemistry; Medicine; Toxicity; Anesthesia","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":[0.0005769411,0.0001301559,0.0001902914,0.00007142501,0.00008152182,0.0000226132,0.0001111233,0.0001128377,0.00000878744],"category_scores_gemma":[0.00009859724,0.0000965203,0.00002279548,0.0001625874,0.0002503981,0.000007856243,0.0001789526,0.00005284865,1.29898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006794055,"about_ca_system_score_gemma":0.0000345735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005325918,"about_ca_topic_score_gemma":0.00008723923,"domain_scores_codex":[0.998876,0.000106291,0.0002281837,0.0004258635,0.000161316,0.0002022988],"domain_scores_gemma":[0.9996207,0.00002525731,0.00005646051,0.00008726375,0.00005017114,0.000160125],"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":[0.00007448602,0.0001107329,0.03357042,0.00001284391,0.00000960549,0.000003539337,0.00003489321,0.008438874,0.9567094,0.00004527418,0.00001069826,0.0009792172],"study_design_scores_gemma":[0.003070724,0.008489702,0.5973108,0.00004336814,0.00004396259,0.00002024948,0.0004545164,0.01625393,0.373056,0.0007007947,0.0000798133,0.0004761266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981699,0.0009460241,0.0001587764,0.0002247738,0.00001614051,0.0002521128,0.000005445402,0.000006959774,0.0002198515],"genre_scores_gemma":[0.9973255,0.00007523473,0.002213565,0.0003190025,0.00002884552,0.00002210352,0.000004870703,0.000003466663,0.000007350955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5836534,"threshold_uncertainty_score":0.3935983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423272824248319,"score_gpt":0.3169334127791488,"score_spread":0.2727006845366656,"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."}}