{"id":"W2252917411","doi":"10.2172/1040596","title":"Selenium Speciation and Management in Wet FGD Systems","year":2012,"lang":"en","type":"report","venue":"","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"U.S. Department of Energy","keywords":"Selenium; Scrubber; Chemistry; Selenate; Wet scrubber; Environmental chemistry; Manganese; Genetic algorithm; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000516198,0.0003615089,0.0005724126,0.0004376297,0.000860753,0.0009772591,0.0007450631,0.000655641,0.00125203],"category_scores_gemma":[0.0005462366,0.0002229705,0.0004341007,0.0003484467,0.0003617781,0.0007368662,0.0006116084,0.0003422993,0.0003673472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857169,"about_ca_system_score_gemma":0.0006874733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170292,"about_ca_topic_score_gemma":0.01294363,"domain_scores_codex":[0.9996494,0.00004629599,0.00002357448,0.00007670755,0.0001439297,0.00006000101],"domain_scores_gemma":[0.9997876,0.00007430653,0.00003100619,0.0000215004,0.00006843011,0.00001715057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001358201,0.0007681419,0.03472108,0.0006993464,0.0001132141,0.001012699,0.0003714144,0.1108874,0.7882128,0.0006180268,0.0008698462,0.06036773],"study_design_scores_gemma":[0.0002021891,0.003111523,0.03038852,0.00003639958,0.0001035795,0.0003167405,0.0008227478,0.1674629,0.7875541,0.0007533416,0.00914548,0.0001023925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9929569,0.0001829772,0.004780664,0.00004776733,0.00001108748,0.00008184883,0.0003902126,0.0001680176,0.001380605],"genre_scores_gemma":[0.9927316,0.0002014742,0.005246555,0.00003385344,0.000002947563,0.00006008234,0.0004887127,0.00002048277,0.001214343],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01170292,"threshold_uncertainty_score":0.02326959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04849152831477184,"score_gpt":0.2272410765413248,"score_spread":0.1787495482265529,"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."}}