{"id":"W2983097305","doi":"10.1016/j.envint.2019.105252","title":"Volatile organic compounds emissions from traditional and clean domestic heating appliances in Guanzhong Plain, China: Emission factors, source profiles, and effects on regional air quality","year":2019,"lang":"en","type":"article","venue":"Environment International","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Stove; Environmental science; Anthracite; Air quality index; Emission inventory; Environmental chemistry; Coal; Combustion; Volatile organic compound; Methane; Coal combustion products; Air pollution; Environmental engineering; Waste management; Chemistry; Meteorology; Engineering","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":[0.0002109231,0.0003646323,0.0001794,0.0003570295,0.0003217827,0.0002844542,0.000221646,0.0002081479,0.0002872118],"category_scores_gemma":[0.0001386525,0.000199625,0.0002844184,0.0006081611,0.0004687086,0.000195615,0.0003060297,0.0001273797,0.00004019246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088973,"about_ca_system_score_gemma":0.0005502677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07959268,"about_ca_topic_score_gemma":0.1309732,"domain_scores_codex":[0.9998784,0.00001957117,0.000006519061,0.00004261255,0.00002522176,0.00002762911],"domain_scores_gemma":[0.9998908,0.000025231,0.00002855308,0.000009120084,0.00002048982,0.00002577291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002455415,0.00007483659,0.9343457,0.00007214626,0.00007854873,0.000585483,0.001130581,0.001487068,0.05521688,0.00007847939,0.0000721945,0.006612596],"study_design_scores_gemma":[0.000004090225,0.0000261423,0.9984862,0.000001133225,0.000008598491,0.00002591648,0.0002540972,0.0004875248,0.0006305675,0.000008926293,0.00006419556,0.000002610295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998543,0.00001121253,0.00002821289,0.000004491479,2.979315e-7,0.000001989857,0.00003533745,0.000001221593,0.00006295635],"genre_scores_gemma":[0.9996215,0.00002167026,0.00008113404,0.000004682931,6.776941e-7,0.000005982264,0.0001371915,8.635446e-7,0.0001261595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07959268,"threshold_uncertainty_score":0.1582588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399208952862469,"score_gpt":0.2159633736581598,"score_spread":0.2019712841295351,"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."}}