{"id":"W3043647998","doi":"10.1016/j.scitotenv.2020.140934","title":"Pet hair as a potential sentinel of human exposure: Investigating partitioning and exposures from OPEs and PAHs in indoor dust, air, and pet hair from China","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Urban Water Resource and Environment; National Natural Science Foundation of China","keywords":"Environmental chemistry; Inhalation exposure; Chemistry; Indoor air; Phenanthrene; Inhalation; Environmental science; Environmental engineering; Toxicity; Medicine","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":[0.0003424926,0.0003765426,0.0002113523,0.0006612483,0.0008957881,0.0004358156,0.0003877063,0.0004952486,0.001071397],"category_scores_gemma":[0.0003357825,0.0002487295,0.0003541111,0.0005602975,0.0004154827,0.0003109139,0.0005073352,0.0002608564,0.0001660396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990871,"about_ca_system_score_gemma":0.0006291752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253653,"about_ca_topic_score_gemma":0.03846499,"domain_scores_codex":[0.9997004,0.00005595278,0.00001312845,0.00008216607,0.00008353509,0.00006484875],"domain_scores_gemma":[0.9997949,0.00002491645,0.00003954357,0.00001584188,0.00008564462,0.00003907538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002610623,0.0001424619,0.8664421,0.0001120314,0.0001164402,0.0007143723,0.002567616,0.000174292,0.120165,0.0001026772,0.0001743567,0.009027594],"study_design_scores_gemma":[0.00001174687,0.0004126411,0.9771549,0.00001185344,0.0001170032,0.001169345,0.003606934,0.0007737796,0.01524738,0.000126192,0.00135502,0.0000132267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990871,0.00007946871,0.0003323281,0.00002757872,0.000004877738,0.00001334649,0.0001368719,0.000002523002,0.000315809],"genre_scores_gemma":[0.9984963,0.0001146451,0.0003227263,0.00006046172,0.000005170788,0.00001392946,0.0001515013,0.000003089421,0.0008322825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02253653,"threshold_uncertainty_score":0.04481071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009445749661670338,"score_gpt":0.2056862308259516,"score_spread":0.1962404811642813,"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."}}