{"id":"W1512547288","doi":"10.2172/822933","title":"JV TASK 45-MERCURY CONTROL TECHNOLOGIES FOR ELECTRIC UTILITIES BURNING LIGNITE COAL, PHASE I BENCH-AND PILOT-SCALE TESTING","year":2003,"lang":"en","type":"report","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flue gas; Mercury (programming language); Sorbent; Coal; Waste management; Fly ash; Char; Environmental science; Chemistry; Engineering; Adsorption; Computer science","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":[0.006289738,0.0008119031,0.0007229591,0.0009165966,0.001762206,0.001905936,0.002256873,0.001705004,0.005236804],"category_scores_gemma":[0.003832112,0.0004705009,0.0007435523,0.0006384751,0.0006863902,0.001043631,0.0010466,0.001093488,0.001780684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873463,"about_ca_system_score_gemma":0.006048336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009145933,"about_ca_topic_score_gemma":0.01144727,"domain_scores_codex":[0.995719,0.001170862,0.0001699535,0.0003361817,0.002213599,0.0003903129],"domain_scores_gemma":[0.9962401,0.000699868,0.0002892219,0.0003572425,0.002052443,0.0003611519],"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":[0.002847519,0.01313095,0.0104465,0.002327028,0.0002437322,0.0007620407,0.0009498114,0.02737376,0.7505718,0.002709432,0.02673156,0.1619059],"study_design_scores_gemma":[0.001678543,0.03917285,0.02395013,0.0001995918,0.000171268,0.0004403695,0.0008821845,0.01043319,0.8330675,0.0008902515,0.08898845,0.0001256651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128558,0.002519992,0.08212934,0.001350289,0.0004092102,0.0289881,0.01006807,0.002190937,0.05948827],"genre_scores_gemma":[0.7503705,0.00272716,0.1348645,0.001145471,0.0002759052,0.01348268,0.02274134,0.0005643665,0.07382814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009145933,"threshold_uncertainty_score":0.03326368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05389772478134759,"score_gpt":0.3129593935435804,"score_spread":0.2590616687622328,"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."}}