{"id":"W1992293020","doi":"10.1021/ef060157y","title":"Characterization of Mercury Emissions from a Coal-Fired Power Plant","year":2007,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Flue gas; Fly ash; Electrostatic precipitator; Coal combustion products; Coal; Combustion; Chemistry; Particulates; Waste management; Environmental chemistry; Flue-gas emissions from fossil-fuel combustion; Environmental science; Flue; Power station","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":[0.00008450435,0.000227565,0.0002195951,0.0004363893,0.0005881531,0.0001558701,0.000277105,0.0003062936,0.0008421527],"category_scores_gemma":[0.0001612043,0.000129436,0.0001602532,0.0002713364,0.0001378201,0.0001734644,0.0001485281,0.0001899815,0.0001562524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225109,"about_ca_system_score_gemma":0.0002252385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009775905,"about_ca_topic_score_gemma":0.01352927,"domain_scores_codex":[0.9998775,0.00000745989,0.000003547812,0.00002354438,0.00007146836,0.00001638565],"domain_scores_gemma":[0.9999119,0.00002569411,0.000008719966,0.00000578291,0.00003491984,0.0000129342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005824665,0.0002939725,0.1159657,0.000121295,0.00004955178,0.00146987,0.0007889328,0.003392176,0.8602607,0.00007753697,0.0001964972,0.01680137],"study_design_scores_gemma":[0.00003686299,0.001028906,0.5324912,0.00001287417,0.00004152431,0.0007867131,0.0005419767,0.01123539,0.4518688,0.0001376414,0.00179109,0.00002705084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992168,0.00001115592,0.0003310928,0.000006405432,4.515528e-7,0.00000586488,0.0000909359,0.00001693259,0.0003203048],"genre_scores_gemma":[0.9984121,0.00002086133,0.0004701592,0.00000978099,0.000001114575,0.000005029606,0.0002854763,0.000009629726,0.0007858074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009775905,"threshold_uncertainty_score":0.01943803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309438509377825,"score_gpt":0.2354795423941462,"score_spread":0.2223851573003679,"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."}}