{"id":"W230654526","doi":"10.2172/990814","title":"JV Task 122 - Assessment of Mercury Control Options for the San Miguel Electric Cooperative Power Plant","year":2009,"lang":"en","type":"report","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; U.S. Department of Energy","keywords":"Sorbent; Mercury (programming language); Engineering; Waste management; Power station; Coal; Elemental mercury; Electric power; Process engineering; Environmental science; Environmental engineering; Chemistry; Electrical engineering; Computer science; Power (physics)","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":[0.008724171,0.001009571,0.0007182686,0.002087124,0.001514057,0.003233557,0.002164531,0.002094968,0.005054128],"category_scores_gemma":[0.004669544,0.0004278675,0.000687835,0.001112983,0.0003819655,0.001227274,0.0009993374,0.000800418,0.00130106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005003611,"about_ca_system_score_gemma":0.009834795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06945471,"about_ca_topic_score_gemma":0.1029756,"domain_scores_codex":[0.9945504,0.001200007,0.0001229616,0.00033514,0.003512935,0.0002786074],"domain_scores_gemma":[0.9950055,0.0008588459,0.0003571982,0.0001736129,0.003371996,0.0002329494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007140709,0.00614955,0.1514995,0.00484298,0.000819764,0.002262422,0.001165624,0.1858772,0.134084,0.0105362,0.1415037,0.3541184],"study_design_scores_gemma":[0.003075093,0.02620242,0.3000478,0.00132539,0.0007322279,0.0006099171,0.00383174,0.1178672,0.137774,0.00494893,0.4032762,0.0003090721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7470855,0.002959223,0.01107248,0.002649038,0.0002036685,0.007515885,0.02428734,0.0007559977,0.2034709],"genre_scores_gemma":[0.860517,0.001637432,0.01943803,0.0009247949,0.0001066442,0.002791569,0.02854721,0.0001547717,0.08588262],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06945471,"threshold_uncertainty_score":0.1381009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801003466950253,"score_gpt":0.3268225872210506,"score_spread":0.2988125525515481,"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."}}