{"id":"W4386915163","doi":"10.1021/acs.est.3c02945","title":"Dynamic Source Distribution and Emission Inventory of a Persistent, Mobile, and Toxic (PMT) Substance, Melamine, in China","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Melamine detection and toxicity","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto Scarborough; Horizon 2020 Framework Programme; European Commission; State Key Joint Laboratory of Environmental Simulation and Pollution Control; University of Toronto; Peking University; Eidgenössische Materialprüfungs- und Forschungsanstalt","keywords":"Melamine; Environmental science; Waste management; Human health; Sewage treatment; Environmental engineering; Environmental health; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003046147,0.0003602078,0.000222644,0.00195433,0.0003003227,0.0004302783,0.0003109462,0.0002253231,0.0003456995],"category_scores_gemma":[0.0002165373,0.0001992574,0.0004354919,0.00162081,0.0001288383,0.000428867,0.0003503242,0.00008952178,0.00009728967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101319,"about_ca_system_score_gemma":0.0007005396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06896576,"about_ca_topic_score_gemma":0.05474055,"domain_scores_codex":[0.9998564,0.00001004326,0.0000140856,0.00004119968,0.00005787761,0.0000204194],"domain_scores_gemma":[0.9997154,0.00003013938,0.00006472867,0.0000220538,0.0001404459,0.00002733299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002137248,0.00005962199,0.8977165,0.0001565266,0.0001722274,0.0006565998,0.0004229312,0.01709554,0.04486616,0.0003246446,0.0006421566,0.03767326],"study_design_scores_gemma":[0.000006508049,0.0000731937,0.9751928,0.000008045616,0.00007200817,0.0001317549,0.0001815226,0.01539611,0.006829359,0.00009096681,0.001998481,0.00001921034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970003,0.0001621564,0.0009614583,0.0000213908,0.000001526359,0.00001041597,0.001224914,0.00002219619,0.0005956014],"genre_scores_gemma":[0.9962558,0.0002115818,0.0005056764,0.00001305979,0.000002777794,0.00001223411,0.002076678,0.000006749619,0.000915505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06896576,"threshold_uncertainty_score":0.1371287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004692435633168631,"score_gpt":0.1907870318299983,"score_spread":0.1860945961968297,"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."}}