{"id":"W2037647662","doi":"10.1080/15459620590909673","title":"Physiologically Based Modeling of n-Hexane Kinetics in Humans Following Inhalation Exposure at Rest and Under Physical Exertion: Impact on Free 2,5-Hexanedione in Urine and on n-Hexane in Alveolar Air","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":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Sante Montreal; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Inhalation; Inhalation exposure; Chemistry; Physiologically based pharmacokinetic modelling; Pharmacokinetics; Urine; Confidence interval; Toxicokinetics; Animal science; Toxicology; Toxicity; Pharmacology; Anesthesia; Internal medicine; Medicine; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000335228,0.0004591081,0.0004825012,0.0001715892,0.0001784489,0.0005623174,0.0005362948,0.0007968158,0.0004358458],"category_scores_gemma":[0.001034142,0.0004065894,0.00059885,0.0001199124,0.000308726,0.0002478288,0.0002413819,0.0003614251,0.0001655116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005211952,"about_ca_system_score_gemma":0.0007943889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050176,"about_ca_topic_score_gemma":0.005390591,"domain_scores_codex":[0.9998329,0.00008384915,0.000007603145,0.00003408056,0.00002823408,0.00001330551],"domain_scores_gemma":[0.9995946,0.0002720711,0.00006582313,0.00001698307,0.00003201612,0.0000184787],"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":[0.0002675221,0.00009628112,0.01026515,0.00005788347,0.00008847631,0.0001556032,0.00006977405,0.9721191,0.01297857,0.0002722711,0.00006729652,0.003562093],"study_design_scores_gemma":[0.00003424433,0.0004081004,0.007603338,0.000007397809,0.0000500688,0.0001578513,0.00003280544,0.9877265,0.003098333,0.0005721029,0.000291424,0.00001793377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161824,0.0004757365,0.08126359,0.0001994324,0.00001546441,0.0001071645,0.0003145359,0.00008936915,0.001352343],"genre_scores_gemma":[0.9922981,0.0002552534,0.006505501,0.00005758203,0.000007733165,0.0001147585,0.0001392745,0.00001227764,0.0006095346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050176,"threshold_uncertainty_score":0.0208813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407835441638082,"score_gpt":0.2690746534255027,"score_spread":0.2549962990091219,"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."}}