{"id":"W2021116532","doi":"10.1002/apj.274","title":"Mercury and halides emissions from 200 MW pulverized coal combustion boiler","year":2009,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Chemical Engineering","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Fund for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"Flue gas; Mercury (programming language); Boiler (water heating); Electrostatic precipitator; Pulverized coal-fired boiler; Chemistry; Halide; Combustion; Environmental chemistry; Coal combustion products; Coal; Waste management; Fly ash; Flue-gas emissions from fossil-fuel combustion; Inorganic 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":[0.0001939691,0.0004603456,0.0003435289,0.000522966,0.0003344826,0.000234342,0.000259638,0.000399582,0.001629894],"category_scores_gemma":[0.0001877999,0.0001758643,0.0002405463,0.0002454004,0.0002072154,0.0002239278,0.0001830785,0.000268315,0.0002443756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878831,"about_ca_system_score_gemma":0.0001518483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00636396,"about_ca_topic_score_gemma":0.008490741,"domain_scores_codex":[0.9998605,0.00001667337,0.000008076659,0.00002955421,0.00006395067,0.00002115817],"domain_scores_gemma":[0.9998977,0.00002839903,0.00001704722,0.000007485712,0.00003629251,0.00001313275],"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":[0.0008827001,0.000119987,0.01092039,0.0001054298,0.00003517385,0.0002784247,0.0001534503,0.001528442,0.9792859,0.00002462134,0.0001329659,0.006532545],"study_design_scores_gemma":[0.00004291403,0.001352993,0.1096859,0.00001440656,0.00003976082,0.0001633359,0.0001319241,0.004910495,0.88288,0.00003949627,0.0007154918,0.00002323129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999325,0.00003511602,0.0002736316,0.000007526682,0.000001792507,0.000007460563,0.0001125795,0.00003442207,0.0002024489],"genre_scores_gemma":[0.9978234,0.00005704466,0.0005827319,0.00002033232,0.000002061021,0.00001053702,0.0002853819,0.00001604042,0.001202579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00636396,"threshold_uncertainty_score":0.01265383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008691364185204178,"score_gpt":0.2198474084256423,"score_spread":0.2111560442404382,"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."}}