{"id":"W4229651082","doi":"10.2172/791497","title":"INTEGRATED SYSTEM TO CONTROL PRIMARY PM 2.5 FROM ELECTRIC POWER PLANTS","year":2001,"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":"Mercury (programming language); Scrubber; Environmental science; Particulates; Elemental mercury; Environmental engineering; Waste management; Engineering; Chemistry; Computer science","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":[0.000610267,0.0009767984,0.0006572088,0.001210114,0.0005117557,0.0006316205,0.001401502,0.0003770009,0.05772519],"category_scores_gemma":[0.001023658,0.0003551036,0.0001941224,0.0007938214,0.0001928609,0.000492663,0.0006549341,0.0005718948,0.01748089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009497661,"about_ca_system_score_gemma":0.0009012217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004520123,"about_ca_topic_score_gemma":0.005736126,"domain_scores_codex":[0.99889,0.00008375171,0.00004912647,0.0003744901,0.000517183,0.00008551309],"domain_scores_gemma":[0.9992367,0.00009989869,0.00006686406,0.0001408029,0.000405963,0.0000498549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002336882,0.001470308,0.01693548,0.001110087,0.0001096875,0.0002864428,0.0004477158,0.006992382,0.2649298,0.003623645,0.2170646,0.484693],"study_design_scores_gemma":[0.001381595,0.003275087,0.0843637,0.0001725403,0.0002885152,0.0007409439,0.0001171419,0.08256948,0.2523088,0.001386869,0.5732049,0.0001905139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1774487,0.0008517021,0.4349458,0.0003782435,0.000829435,0.009070552,0.03382252,0.1594124,0.1832408],"genre_scores_gemma":[0.6425616,0.000376393,0.102978,0.0006991708,0.0002760796,0.006605012,0.02785189,0.002577019,0.2160748],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05772519,"threshold_uncertainty_score":0.19311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181058744418278,"score_gpt":0.253386341183587,"score_spread":0.2352804667417592,"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."}}