{"id":"W2918627721","doi":"10.1002/jat.3787","title":"An assessment of the impact of multi‐route co‐exposures on human variability in toxicokinetics: A case study with binary and quaternary mixtures of volatile drinking water contaminants","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Toxicology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Montréal","funders":"Agency for Toxic Substances and Disease Registry","keywords":"Toxicokinetics; Trichloroethylene; Chemistry; Environmental chemistry; Benzene; Exposure assessment; Ethylbenzene; Percentile; Inhalation exposure; Environmental science; Toxicology; Toxicity; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008619031,0.0001401506,0.0004705015,0.00006339234,0.000033014,0.000005861153,0.0002213991,0.00006153092,0.00008399558],"category_scores_gemma":[0.00001332423,0.00006685866,0.00006512368,0.00006154239,0.0002032896,0.00005606907,0.0001145646,0.000239004,2.295441e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008293652,"about_ca_system_score_gemma":0.00002052651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006090623,"about_ca_topic_score_gemma":0.0001676367,"domain_scores_codex":[0.9986745,0.0002093642,0.000542852,0.0001766955,0.0002223048,0.000174288],"domain_scores_gemma":[0.9989392,0.0002214227,0.0005107182,0.0002564928,0.00002088225,0.00005133374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001995506,0.00118093,0.5143521,0.00001607112,0.00003665625,0.00006777916,0.000845969,0.003910511,0.4792286,0.000004302319,0.000002105741,0.0001554183],"study_design_scores_gemma":[0.002146036,0.00662378,0.8258278,0.0000412002,0.0000341635,0.0001435387,0.0006023151,0.0009333903,0.1634968,0.00007149785,6.90132e-7,0.00007886731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992391,0.000003459043,0.000005874322,0.00000836006,0.00002699715,0.0004855495,0.00000463598,0.000001653015,0.000224387],"genre_scores_gemma":[0.9995925,0.000001619448,0.0003681182,0.000009593738,0.000009850718,0.000004126553,6.655928e-7,0.000009401752,0.000004087549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3157318,"threshold_uncertainty_score":0.2726417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127975715608221,"score_gpt":0.3863345745137697,"score_spread":0.3735370029529476,"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."}}