{"id":"W1687549124","doi":"10.2172/825582","title":"PRELIMINARY FIELD EVALUATION OF MERCURY CONTROL USING COMBUSTION MODIFICATIONS","year":2004,"lang":"en","type":"report","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Mercury (programming language); Fly ash; Environmental science; Coal; Waste management; Combustion; NOx; Power station; Nitrogen oxide; Stack (abstract data type); Coal combustion products; Environmental engineering; 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":[0.0007086982,0.0004207599,0.0003072043,0.0002026273,0.0005140011,0.0002869693,0.0006093584,0.0004838408,0.001390287],"category_scores_gemma":[0.0004793052,0.0001394691,0.0003006404,0.0001921733,0.0002843691,0.0002754154,0.0002031465,0.0003345961,0.0001867918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000526242,"about_ca_system_score_gemma":0.0004615768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218486,"about_ca_topic_score_gemma":0.006473872,"domain_scores_codex":[0.9994892,0.00008786072,0.00002073824,0.00009621613,0.0002310988,0.00007480574],"domain_scores_gemma":[0.999679,0.00006212192,0.00004895859,0.00003520687,0.0001448439,0.00002995498],"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":[0.000823821,0.0007910676,0.002316306,0.0001738633,0.00002295563,0.00008963713,0.0001018922,0.001327971,0.9757387,0.00008038784,0.0001694988,0.01836383],"study_design_scores_gemma":[0.0000733277,0.007178452,0.005527209,0.000004023915,0.00002136901,0.00006180333,0.00004184838,0.0007192012,0.9844493,0.00001583722,0.001900107,0.000007470593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935499,0.0001441922,0.003964863,0.00005558075,0.00001555883,0.0002531752,0.0001415862,0.0001050821,0.001770264],"genre_scores_gemma":[0.9797423,0.000298059,0.01133053,0.00009565199,0.00001409233,0.000139646,0.0005558401,0.00004484423,0.007778896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003218486,"threshold_uncertainty_score":0.006399453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117143007634735,"score_gpt":0.3677043627950386,"score_spread":0.2505613551603036,"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."}}