{"id":"W3195931236","doi":"10.1021/acs.est.1c03402","title":"Modeling of Flame Retardants in Typical Urban Indoor Environments in China during 2010–2030: Influence of Policy and Decoration and Implications for Human Exposure","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Polybrominated diphenyl ethers; Human health; Organophosphate; Environmental science; Environmental chemistry; Fire retardant; China; Pollutant; Environmental health; Pesticide; Environmental protection; Chemistry; Geography; Biology; Ecology","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":[0.0006232939,0.001184565,0.0005926978,0.0006000169,0.0005095685,0.0007581103,0.001254669,0.001047455,0.001463784],"category_scores_gemma":[0.0005232437,0.0006084145,0.001865187,0.0006762787,0.0004399553,0.000537859,0.0005617664,0.0004363408,0.0001910568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697463,"about_ca_system_score_gemma":0.00280245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2769361,"about_ca_topic_score_gemma":0.1548711,"domain_scores_codex":[0.9997607,0.00006810982,0.00001195117,0.00005748757,0.00003587137,0.00006594026],"domain_scores_gemma":[0.999757,0.0000778327,0.00003028143,0.0000153327,0.00008484429,0.0000347037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008797665,0.00008480149,0.05797569,0.00006012959,0.0001066038,0.0002138503,0.0000747655,0.9355258,0.001530606,0.0005567052,0.0005367092,0.003246348],"study_design_scores_gemma":[0.00002638694,0.0000790605,0.02570154,0.0000102529,0.00008952511,0.00003301281,0.0001619114,0.9721596,0.0006382171,0.0003632189,0.0007153039,0.00002198635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913088,0.0002542631,0.003598337,0.000259663,0.00002497035,0.00003668234,0.001854558,0.0000711187,0.002591713],"genre_scores_gemma":[0.9953262,0.0002339399,0.001320636,0.00004231095,0.000006019127,0.00005037404,0.001331712,0.00001863511,0.001670153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2769361,"threshold_uncertainty_score":0.5506483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006468118417080861,"score_gpt":0.2425248273465276,"score_spread":0.2360567089294468,"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."}}