{"id":"W1556359489","doi":"10.2172/825258","title":"FIELD TEST PROGRAM FOR EVALUATION OF SORBENT INJECTION FOR MERCURY CONTROL","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":"","keywords":"Sorbent; Flue gas; Waste management; Power station; Mercury (programming language); Engineering; Coal; Capital cost; Asphalt; Environmental science; Environmental engineering; Process engineering; Chemistry; Computer science; Electrical engineering; Adsorption","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":[0.001328957,0.0007883583,0.0004337442,0.0006880735,0.0007274575,0.00034813,0.000985657,0.0006793082,0.005752698],"category_scores_gemma":[0.0009685705,0.0002139593,0.0004259959,0.0004414242,0.0003186222,0.0003421421,0.0002876398,0.0006152127,0.001245758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006169301,"about_ca_system_score_gemma":0.0008776037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725685,"about_ca_topic_score_gemma":0.003732477,"domain_scores_codex":[0.9991537,0.0001550274,0.00004047782,0.0001439811,0.0003903199,0.0001164647],"domain_scores_gemma":[0.9981139,0.0003031512,0.0001698236,0.0002118851,0.001049004,0.0001523562],"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":[0.003196353,0.006526189,0.01112711,0.0003610303,0.00007068822,0.0003226252,0.0003024489,0.005680005,0.9170902,0.0004559259,0.003142334,0.05172501],"study_design_scores_gemma":[0.000928838,0.06851858,0.02001071,0.0000296722,0.0001027544,0.0002409122,0.0002090325,0.007686866,0.8875846,0.000168215,0.01447511,0.0000447399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154297,0.0001403935,0.06153777,0.0001579446,0.0001381692,0.008518367,0.003065641,0.00226805,0.008744013],"genre_scores_gemma":[0.9131432,0.0001806811,0.0619227,0.0002522394,0.00003177124,0.005471989,0.004567723,0.0001363127,0.01429337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005752698,"threshold_uncertainty_score":0.01924473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864989344688691,"score_gpt":0.3788021112553501,"score_spread":0.3201522178084632,"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."}}