{"id":"W2406642378","doi":"10.1021/acs.energyfuels.5b01082","title":"Mercury Transformation and NO Emission of Coal Combustion with CaCl<sub>2</sub> and NH<sub>4</sub>Cl Additives in a 6 kW CFB Combustor","year":2015,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Flue gas; Anthracite; Mercury (programming language); Combustion; Fly ash; Combustor; Coal combustion products; Chemistry; Coal; Fluidized bed combustion; Electrostatic precipitator; Environmental chemistry; Waste management; Mineralogy; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001588775,0.00037251,0.0003602073,0.0002443139,0.0002517507,0.0001682422,0.0002390476,0.000375684,0.0005980458],"category_scores_gemma":[0.0002309835,0.0001792116,0.0003089843,0.0001759871,0.0002732422,0.0001946982,0.000150659,0.0002956325,0.0001125563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141647,"about_ca_system_score_gemma":0.0001944824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004126521,"about_ca_topic_score_gemma":0.005300565,"domain_scores_codex":[0.9998477,0.00001877377,0.000006973416,0.00003762743,0.0000672682,0.00002161629],"domain_scores_gemma":[0.9998865,0.00003420772,0.00002119018,0.000008804644,0.00003163072,0.00001768776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006860322,0.00005708395,0.003929499,0.00004930226,0.00001491315,0.0001326623,0.00004686539,0.001090569,0.9923505,0.00002189553,0.00003048152,0.001590175],"study_design_scores_gemma":[0.00002898631,0.0006869226,0.03813137,0.000005183619,0.00003152146,0.0001005708,0.00007222522,0.00701562,0.9536332,0.00003048146,0.0002467354,0.00001717814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995419,0.00004592709,0.0001726987,0.000009127784,0.000002343418,0.000004030581,0.00004414087,0.000008914486,0.0001708408],"genre_scores_gemma":[0.9989198,0.00006019579,0.0004898723,0.000007652495,0.000001850883,0.000004733939,0.00005955687,0.000005033882,0.0004512463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004126521,"threshold_uncertainty_score":0.008204997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126072098039505,"score_gpt":0.219695518537625,"score_spread":0.2070883087336745,"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."}}