{"id":"W4313367850","doi":"10.1016/j.ecoenv.2022.114446","title":"Incorporating oral, inhalation and dermal bioaccessibility into human health risk characterization following exposure to Chromated Copper Arsenate (CCA)-contaminated soils","year":2022,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Environmental chemistry; Bioavailability; Chromated copper arsenate; Carcinogen; Ingestion; Arsenic; Hazard quotient; Risk assessment; Inhalation exposure; Inhalation; Soil water; Health risk assessment; Chemistry; Health risk; Toxicology; Environmental science; Environmental health; Heavy metals; Medicine; Pharmacology; Biology; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004831027,0.0006869318,0.0003003995,0.0006973825,0.0003328596,0.000778836,0.0003048698,0.000380321,0.0007979452],"category_scores_gemma":[0.0004402674,0.0001913782,0.000459678,0.0003889537,0.0003363157,0.0002281312,0.0004837813,0.0002312618,0.0001493933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000907429,"about_ca_system_score_gemma":0.001148762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05212991,"about_ca_topic_score_gemma":0.08733454,"domain_scores_codex":[0.999557,0.00007528447,0.0000153185,0.000107252,0.000185901,0.00005923618],"domain_scores_gemma":[0.9998006,0.00003677183,0.0000484577,0.00001604601,0.00008603978,0.00001201471],"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":[0.0008484271,0.0002407391,0.4400062,0.0006645195,0.0003664481,0.0006256864,0.0009270386,0.008494339,0.4760959,0.0003680669,0.0002873341,0.07107528],"study_design_scores_gemma":[0.00003500483,0.003140846,0.6680883,0.00007429175,0.0004892093,0.001114795,0.001873267,0.01870903,0.3011908,0.0007197174,0.004477137,0.00008764333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920466,0.0005233152,0.005611286,0.00003167337,0.000004095039,0.00008682541,0.0003938662,0.00002246261,0.001279771],"genre_scores_gemma":[0.9934981,0.000612165,0.003830314,0.00002411572,0.000003961474,0.00003461283,0.0002972873,0.000007604271,0.001691893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05212991,"threshold_uncertainty_score":0.103653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008128057409282796,"score_gpt":0.2448675685235592,"score_spread":0.2367395111142764,"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."}}