{"id":"W2213414781","doi":"10.1115/1.4032239","title":"Reduction of Sulfur Dioxide Emissions by Burning Coal Blends","year":2015,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University; University of Pennsylvania","keywords":"Sulfur; Coal; Sulfur dioxide; Bituminous coal; Combustion; Cofiring; Chemistry; Flue-gas desulfurization; Char; Coal combustion products; Waste management; Environmental chemistry; Inorganic chemistry; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001285011,0.000374808,0.0002765916,0.0004713339,0.0001370216,0.0003132767,0.000211743,0.0002227795,0.00130704],"category_scores_gemma":[0.0001504583,0.0001276261,0.0002893329,0.0004084387,0.0001014095,0.0002799237,0.0002299792,0.0002702296,0.0002193362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508049,"about_ca_system_score_gemma":0.00009649766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005841965,"about_ca_topic_score_gemma":0.001462265,"domain_scores_codex":[0.9998098,0.00001075496,0.00001610693,0.00003960164,0.00008906682,0.00003470073],"domain_scores_gemma":[0.9999402,0.00000866036,0.00001517907,0.000006114921,0.00001732231,0.00001265458],"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":[0.0002465176,0.00006854201,0.0006853854,0.00007358682,0.00001658649,0.00003288095,0.00001640424,0.0002531648,0.9944361,0.00004479094,0.00001783548,0.004108109],"study_design_scores_gemma":[0.000006360512,0.000391206,0.003283539,0.000004528113,0.00002046962,0.00002982629,0.00002991029,0.001533816,0.9940507,0.00001904697,0.0006259083,0.000004526878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984714,0.0002245023,0.0006425399,0.000006431548,0.0000111729,0.000008772443,0.00006106531,0.00002834351,0.0005457884],"genre_scores_gemma":[0.9975514,0.000205892,0.00121748,0.00000843724,0.000003303973,0.000008792589,0.0001067016,0.0000154053,0.0008825917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00130704,"threshold_uncertainty_score":0.004372478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007239550278174768,"score_gpt":0.204588216264954,"score_spread":0.1973486659867792,"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."}}