{"id":"W2389113450","doi":"","title":"Influence of Boiler Capacities on Enrichment Law of Mercury","year":2008,"lang":"en","type":"article","venue":"Journal of Power Engineering","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; Boiler (water heating); Coal; Combustion; Waste management; Fly ash; Chemistry; Environmental science; Bottom ash; Flue; Coal combustion products; Electrostatic precipitator; Environmental chemistry; Engineering","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":[0.000304812,0.0002967471,0.0001663944,0.0003787086,0.0001438273,0.0002637792,0.0001840727,0.0001542092,0.001239567],"category_scores_gemma":[0.00133867,0.0002146168,0.0002158416,0.0002220043,0.0002446616,0.0003010202,0.0002454549,0.0002321605,0.0001890895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545689,"about_ca_system_score_gemma":0.0001931472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002748129,"about_ca_topic_score_gemma":0.002569493,"domain_scores_codex":[0.9997944,0.00004042671,0.0000128264,0.00004759911,0.00005384039,0.00005085125],"domain_scores_gemma":[0.9987103,0.0008272506,0.0001142305,0.0001051471,0.0001506721,0.00009241598],"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":[0.002803662,0.0001528856,0.07694566,0.0002867346,0.0001191734,0.0005405164,0.000249276,0.02570584,0.869554,0.0004023667,0.000201529,0.02303843],"study_design_scores_gemma":[0.00003036796,0.0007708452,0.1889799,0.00001770582,0.0001102888,0.0002718546,0.0002128558,0.01213715,0.7955449,0.0002119644,0.00166987,0.00004232656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981238,0.0001518537,0.0006763617,0.00001192918,0.000002275549,0.000006943412,0.00009173564,0.00002902017,0.0009061221],"genre_scores_gemma":[0.9993692,0.00009157258,0.0002097043,0.000004127576,0.000001114915,0.000003973546,0.00006694107,0.00000721769,0.0002462774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002748129,"threshold_uncertainty_score":0.005464256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006039927747718,"score_gpt":0.2162324035827725,"score_spread":0.2061720043052953,"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."}}