{"id":"W4285276733","doi":"10.2139/ssrn.4126064","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":"SSRN Electronic Journal","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Chromated copper arsenate; Contamination; Environmental chemistry; Inhalation; Arsenic; Inhalation exposure; Health risk; Environmental health; Environmental science; Medicine; Chemistry; Biology","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":[0.0003539093,0.0004617841,0.0003246707,0.0005737993,0.0003073701,0.0007316769,0.0002281327,0.0004618266,0.001034051],"category_scores_gemma":[0.000574667,0.0002061202,0.0004483759,0.0003393065,0.0003530582,0.0002341345,0.0003977134,0.0003299979,0.000247267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437962,"about_ca_system_score_gemma":0.0007325079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069917,"about_ca_topic_score_gemma":0.01234819,"domain_scores_codex":[0.9996686,0.00008237961,0.00001731219,0.00009214911,0.0000998208,0.00003974063],"domain_scores_gemma":[0.9997628,0.00004686589,0.00004178053,0.00002328595,0.0001071989,0.00001803608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002175102,0.0002457555,0.09381032,0.000396401,0.0002193927,0.0002258168,0.0005942711,0.001296922,0.8582363,0.0001913958,0.0002173487,0.04239104],"study_design_scores_gemma":[0.00004434579,0.004487013,0.1962023,0.00007210008,0.0004787702,0.0009748086,0.001771244,0.006430191,0.7852461,0.0005439771,0.003679598,0.00006949042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927791,0.001082428,0.004161947,0.00005809391,0.00001718328,0.00006269815,0.0005486124,0.00002467019,0.001265398],"genre_scores_gemma":[0.9946737,0.0009187026,0.001930205,0.00003108461,0.000008096589,0.00003276077,0.0002503071,0.00001345858,0.002141637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069917,"threshold_uncertainty_score":0.02127373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00819043800418435,"score_gpt":0.257653473463038,"score_spread":0.2494630354588536,"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."}}