{"id":"W2392765284","doi":"","title":"STUDY ON MERCURY SPECIATION IN PULVERIZED COAL FIRED FLUE GAS","year":2004,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flue gas; Mercury (programming language); Boiler (water heating); Combustion; Flue-gas emissions from fossil-fuel combustion; Environmental chemistry; Chemistry; Fly ash; Waste management; Particulates; Pulverized coal-fired boiler; Flue; Coal combustion products; Coal; Environmental science; 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":[0.0000899107,0.0001573179,0.0001531331,0.0003075935,0.0002999445,0.0001697961,0.0001778859,0.0002509007,0.0007886186],"category_scores_gemma":[0.0001233458,0.0000749628,0.0001672037,0.0001326611,0.0001351893,0.0002384019,0.0001112199,0.0001325482,0.00008917493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338721,"about_ca_system_score_gemma":0.000150767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223302,"about_ca_topic_score_gemma":0.005669362,"domain_scores_codex":[0.9999126,0.00001213172,0.000003250967,0.00002385001,0.00003448668,0.00001375175],"domain_scores_gemma":[0.9999582,0.00001002047,0.000005364845,0.000003436967,0.00001976776,0.000003224627],"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":[0.00009385905,0.00002008506,0.004651938,0.00004966069,0.0000186446,0.0001297361,0.0001547291,0.0003089308,0.9897113,0.00005121476,0.00003104964,0.004778795],"study_design_scores_gemma":[0.000008175547,0.0003218796,0.03430822,0.000006511268,0.00002636704,0.000332882,0.0002042348,0.002598077,0.9598784,0.00008870568,0.002216389,0.00001020121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978427,0.0002922266,0.001294269,0.00001864986,0.000005573172,0.000005555029,0.00003826145,0.00001273067,0.0004900906],"genre_scores_gemma":[0.9969669,0.000227883,0.001336331,0.00002638783,0.000005069319,0.000003557726,0.0001107943,0.00000877588,0.001314287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004223302,"threshold_uncertainty_score":0.0083974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284759213341278,"score_gpt":0.2790692155735122,"score_spread":0.2505932942393844,"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."}}