{"id":"W4241360894","doi":"10.2172/886127","title":"DIRECT MEASUREMENT OF MERCURY REACTIONS IN COAL POWER PLANT PLUMES","year":2004,"lang":"en","type":"report","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; Electric Power Research Institute; U.S. Department of Energy","keywords":"Mercury (programming language); Plume; Power station; Environmental science; Electric power; Elemental mercury; Coal; Environmental chemistry; Energy source; Environmental engineering; Waste management; Chemistry; Meteorology; Flue gas; Engineering; Power (physics); Computer science; Physics; Electrical engineering; Thermodynamics","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":[0.0001976451,0.0002393224,0.0001222524,0.0004623232,0.0002280207,0.0002304586,0.0003816578,0.0002916516,0.001291332],"category_scores_gemma":[0.0003548723,0.0001222333,0.0001290454,0.000266859,0.0001655506,0.0002789765,0.0003220371,0.0004206889,0.0002170364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867775,"about_ca_system_score_gemma":0.0001878155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668622,"about_ca_topic_score_gemma":0.003498491,"domain_scores_codex":[0.9997302,0.00002390403,0.000006711316,0.00006188827,0.0001487468,0.00002862963],"domain_scores_gemma":[0.9998525,0.00004196883,0.00002054468,0.00001167598,0.00005786872,0.00001533699],"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":[0.0001356505,0.00005467511,0.01060674,0.00004546463,0.00001434863,0.00005536447,0.0001251108,0.0002334938,0.9820784,0.0001591605,0.000100204,0.006391386],"study_design_scores_gemma":[0.00001628936,0.0003229409,0.01928333,0.000007515443,0.00001862337,0.00009391263,0.0001198777,0.00425474,0.9743946,0.0001228398,0.001357206,0.000008231726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799531,0.0002780597,0.0144732,0.00006774561,0.00002130284,0.00008384875,0.000533015,0.0001963051,0.004393585],"genre_scores_gemma":[0.9883065,0.0002390031,0.008285818,0.00004819625,0.000006749494,0.00003569761,0.0003995926,0.0000255076,0.002653018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001668622,"threshold_uncertainty_score":0.004319966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533797590785507,"score_gpt":0.2895355242742492,"score_spread":0.2341975483663941,"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."}}