{"id":"W1998817109","doi":"10.1021/ef8007344","title":"Emission Control of Mercury and Sulfur by Mild Thermal Upgrading of Coal","year":2009,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mercury (programming language); Sulfur; Oxidizing agent; Coal; Environmental chemistry; Combustion; Chemistry; Coal combustion products; Nitrogen; Thermal power station; Environmental science; Waste management; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00009355274,0.0002117981,0.0002134001,0.0002414454,0.0002071293,0.0001457235,0.0001845766,0.0001097946,0.0004522419],"category_scores_gemma":[0.0001264728,0.000069981,0.0002420152,0.0001491394,0.0001849624,0.00008293035,0.000165819,0.0001252563,0.00005237224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183745,"about_ca_system_score_gemma":0.0002490247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006542552,"about_ca_topic_score_gemma":0.01747188,"domain_scores_codex":[0.9999028,0.000009594512,0.000004702358,0.00001193569,0.00005433935,0.00001660549],"domain_scores_gemma":[0.9999597,0.000006399353,0.00001224183,0.000005264366,0.00001053324,0.000005874717],"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":[0.0001044685,0.00001662635,0.001504344,0.00003828729,0.000005879985,0.0000287505,0.0000182177,0.0005649565,0.9918957,0.00005457562,0.00002189013,0.00574609],"study_design_scores_gemma":[0.000007067337,0.000232033,0.01159295,0.000001826661,0.00001194843,0.00005095325,0.00002636378,0.001681762,0.985551,0.00005049327,0.0007874483,0.000006153304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981012,0.0001184071,0.001391946,0.00001559315,0.000002891857,0.000007557114,0.00002802415,0.0000194893,0.0003148922],"genre_scores_gemma":[0.9980279,0.00009109228,0.001217976,0.000007555283,0.000002386011,0.000004911044,0.0000469777,0.000003048168,0.0005981582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006542552,"threshold_uncertainty_score":0.01300895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008284280234270228,"score_gpt":0.1908948450678855,"score_spread":0.1826105648336153,"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."}}