{"id":"W4241613445","doi":"10.2172/838805","title":"EVALUATION OF MERCURY EMISSIONS FROM COAL-FIRED FACILITIES WITH SCR AND FGD SYSTEMS","year":2004,"lang":"en","type":"report","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Flue gas; Flue-gas desulfurization; Waste management; Coal; Particulates; Electrostatic precipitator; NOx; Selective catalytic reduction; Environmental science; Chemistry; Environmental engineering; Engineering; Catalysis; Combustion","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":[0.0004794885,0.0003723712,0.0003476208,0.0004284363,0.0003615437,0.0002554836,0.0004923362,0.0004228897,0.0009519051],"category_scores_gemma":[0.0004957679,0.0001438655,0.0003657012,0.0005034752,0.0001873215,0.0002307999,0.0002276438,0.0001918734,0.0001971461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006333378,"about_ca_system_score_gemma":0.0003341422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007047159,"about_ca_topic_score_gemma":0.01265963,"domain_scores_codex":[0.9992062,0.0001343048,0.00003888499,0.00009853071,0.0004455005,0.0000765963],"domain_scores_gemma":[0.9996125,0.00008906834,0.00004292539,0.0000260947,0.0002018475,0.00002764558],"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":[0.001784789,0.0004315526,0.02561912,0.0003818483,0.0001104441,0.0001860728,0.0001418086,0.007345852,0.9339,0.00005166986,0.0001878691,0.02985897],"study_design_scores_gemma":[0.00004531697,0.005539877,0.04436076,0.00000927202,0.00007669556,0.0001121792,0.00012877,0.007471774,0.9414349,0.0000198391,0.0007820396,0.00001860419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985625,0.00006125362,0.0006519357,0.00000671406,0.000002197974,0.00003195949,0.0001522762,0.00002673044,0.0005044865],"genre_scores_gemma":[0.9952005,0.0001236326,0.002788976,0.00002151804,0.000001886022,0.00002998707,0.0004736118,0.00001290419,0.001346848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007047159,"threshold_uncertainty_score":0.01401228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08250338029848146,"score_gpt":0.3158137049580815,"score_spread":0.2333103246596001,"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."}}