{"id":"W2363898692","doi":"","title":"MERCURY SPECIATION IN COAL FIRED FLUE GAS","year":2003,"lang":"en","type":"article","venue":"Environmental Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Flue gas; Fly ash; Combustion; Environmental chemistry; Coal; Bottom ash; Chemistry; Coal combustion products; Pulverized coal-fired boiler; Combustor; Waste management; Particulates","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":[0.0003605045,0.0002526033,0.000178638,0.0007817702,0.0004284639,0.0002317567,0.0002798284,0.0004125103,0.0004667404],"category_scores_gemma":[0.0003571546,0.000145026,0.0002094245,0.0003645155,0.0002217356,0.0002983194,0.0002321731,0.0001692309,0.00008546076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918944,"about_ca_system_score_gemma":0.000248389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005290024,"about_ca_topic_score_gemma":0.009455363,"domain_scores_codex":[0.999634,0.00005343831,0.00001169235,0.00007370121,0.0001912493,0.00003584785],"domain_scores_gemma":[0.9998838,0.00003026284,0.00001050385,0.000007277947,0.00006173943,0.000006443096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001859903,0.0000208173,0.009083323,0.0001794573,0.00003991503,0.0001284596,0.0002816447,0.0005165893,0.9714911,0.0001464466,0.00005352648,0.01787269],"study_design_scores_gemma":[0.00000649581,0.0001785479,0.01776529,0.00001113709,0.00002937357,0.00036394,0.0001380693,0.002046726,0.9772151,0.0001002319,0.002127932,0.00001709017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873804,0.001994295,0.008893535,0.00005753387,0.00002058131,0.0000223391,0.0001234238,0.00006960238,0.001438401],"genre_scores_gemma":[0.9860032,0.001113777,0.01070361,0.00004750389,0.000009642811,0.00001777091,0.0001833816,0.00001816534,0.001903034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005290024,"threshold_uncertainty_score":0.01051849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00761846656032704,"score_gpt":0.2063977716771133,"score_spread":0.1987793051167863,"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."}}