{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003568568,0.0004977424,0.0004194705,0.0002251408,0.0002147382,0.0004257563,0.0004998129,0.0006730106,0.0008418807],"category_scores_gemma":[0.0004361069,0.0002617512,0.0007081915,0.0003434894,0.0001747658,0.0002308076,0.000283961,0.0003202723,0.0003608478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004468183,"about_ca_system_score_gemma":0.0005865406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006009178,"about_ca_topic_score_gemma":0.005655439,"domain_scores_codex":[0.9997463,0.00009772261,0.00001430625,0.00006579031,0.00005452929,0.0000213451],"domain_scores_gemma":[0.9998732,0.00005384992,0.00003027461,0.00001429044,0.00002306638,0.000005271048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007927018,0.0008044981,0.01768289,0.0006257638,0.0001975575,0.0005829385,0.000275549,0.7480081,0.1846716,0.003024825,0.000791229,0.04254239],"study_design_scores_gemma":[0.00005702939,0.001544131,0.01432734,0.00003195513,0.0001198744,0.0003265228,0.00007788462,0.931058,0.04653616,0.002417099,0.003454707,0.00004933318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7425668,0.001963173,0.2487102,0.0002266705,0.00003741666,0.0003303691,0.001539656,0.0002280466,0.004397694],"genre_scores_gemma":[0.9618766,0.00169502,0.02979523,0.00005507759,0.00001594634,0.0006310847,0.0007433397,0.00002760623,0.005160098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006009178,"threshold_uncertainty_score":0.01194841,"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."}}