{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001509272,0.0003071757,0.0003966102,0.0000773748,0.001997516,0.0000314934,0.000183229,0.0001377081,0.001411585],"category_scores_gemma":[0.00002778197,0.0003380544,0.00006779834,0.0001884208,0.0003511706,0.0004242249,0.001138625,0.0003857735,0.0000542039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155033,"about_ca_system_score_gemma":0.00001276537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003463587,"about_ca_topic_score_gemma":0.0004376723,"domain_scores_codex":[0.9967669,0.000919665,0.0006655161,0.0008396584,0.0003419796,0.0004663419],"domain_scores_gemma":[0.9990235,0.00005636942,0.0003174913,0.0003081441,8.912183e-7,0.0002936357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008371254,0.0003195063,0.6110585,0.00001366117,0.00004451195,0.00001724784,0.001697141,0.003338384,0.3621976,0.00001006933,0.00003203889,0.02118766],"study_design_scores_gemma":[0.0009575319,0.0007787268,0.9907659,0.000008145386,0.0000314812,0.00002579285,0.0004802935,0.001910124,0.003468757,0.0001221533,0.001094464,0.0003566247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997542,0.00007779543,0.0003510392,0.0005566098,0.000178959,0.001013326,0.0001142767,0.00006426431,0.0001017517],"genre_scores_gemma":[0.9971248,0.00008288599,0.000902073,0.001062572,0.00002099982,0.0001672917,0.0005171931,0.00003574332,0.00008642317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3797074,"threshold_uncertainty_score":0.9999071,"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."}}