{"id":"W2913986867","doi":"10.1021/acs.energyfuels.8b03997","title":"Atmospheric Mercury Emissions from Residential Coal Combustion in Guizhou Province, Southwest China","year":2019,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"K. C. Wong Education Foundation; Guizhou Science and Technology Department; National Natural Science Foundation of China","keywords":"Coal; Mercury (programming language); Flue gas; Coal combustion products; Combustion; Environmental chemistry; Environmental science; Chemistry","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":[0.0002461345,0.0004233237,0.0001960176,0.0008510569,0.0007127105,0.0003155043,0.0002692003,0.0003145279,0.0003966716],"category_scores_gemma":[0.0001758416,0.0001995078,0.0003296115,0.0007666306,0.0002781237,0.0001877153,0.0002804865,0.0001371349,0.00005214569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059667,"about_ca_system_score_gemma":0.0005962305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1364846,"about_ca_topic_score_gemma":0.1842383,"domain_scores_codex":[0.9998245,0.00002262944,0.00001263446,0.00006115674,0.00004665703,0.00003249002],"domain_scores_gemma":[0.9998699,0.00002105505,0.00004010768,0.000008482059,0.00003795164,0.00002258929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001648296,0.000072254,0.9317269,0.00009885336,0.00009661003,0.001237083,0.001368537,0.0008341426,0.05377104,0.00006186769,0.0003087293,0.0102591],"study_design_scores_gemma":[0.000005697454,0.00003171768,0.9977431,0.000001773554,0.00001996856,0.00008660764,0.0002240988,0.0004257034,0.001287807,0.00001092275,0.0001573837,0.000005325059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995603,0.00005975623,0.0001019319,0.0000223185,0.000001183906,0.000004567636,0.0001029054,0.000009873926,0.0001371106],"genre_scores_gemma":[0.9993464,0.00006114914,0.0001955787,0.00001735143,0.00000301125,0.000005216198,0.0002175862,0.000001562964,0.0001521012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1364846,"threshold_uncertainty_score":0.2713804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007675252111884065,"score_gpt":0.2254680650923165,"score_spread":0.2177928129804325,"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."}}