{"id":"W1985276181","doi":"10.1016/j.fuproc.2010.04.015","title":"Recent developments in novel sorbents for flue gas clean up","year":2010,"lang":"en","type":"article","venue":"Fuel Processing Technology","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Flue gas; NOx; Flue-gas emissions from fossil-fuel combustion; Pollutant; Mercury (programming language); Selective catalytic reduction; Waste management; Combustion; Coal combustion products; Coal; Chemistry; Environmental science; Flue-gas desulfurization; Sulfur dioxide; Flue; Environmental chemistry; Catalysis; Inorganic chemistry; Engineering; 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":[0.0008847232,0.0005566887,0.0005274643,0.000480235,0.0002553383,0.0006412905,0.0005018144,0.0008169327,0.002615347],"category_scores_gemma":[0.0004759983,0.0003181017,0.0003474684,0.0004794633,0.0004699299,0.001167489,0.0004578324,0.0008495212,0.001308509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115011,"about_ca_system_score_gemma":0.000342724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002900015,"about_ca_topic_score_gemma":0.0006668082,"domain_scores_codex":[0.999773,0.00004590583,0.0000150887,0.00005707061,0.00007339957,0.0000355125],"domain_scores_gemma":[0.9996718,0.0001354225,0.00004141341,0.00001848075,0.00009653308,0.000036285],"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":[0.0004960123,0.000293267,0.0006733416,0.005432473,0.00009152175,0.0004401507,0.0002142676,0.001890159,0.6432855,0.007122062,0.003460754,0.3366005],"study_design_scores_gemma":[0.00005042648,0.001356586,0.001734389,0.0002112508,0.0001121458,0.001381345,0.0001529364,0.004907858,0.6798108,0.001981107,0.308253,0.00004812477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1801033,0.7032478,0.08588713,0.002681201,0.001242958,0.0001394545,0.000221848,0.0003273592,0.02614894],"genre_scores_gemma":[0.2937555,0.593963,0.07261027,0.002438895,0.001723701,0.0001601142,0.0006383913,0.0001284406,0.03458168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002615347,"threshold_uncertainty_score":0.008749187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107239006447367,"score_gpt":0.2574633174604766,"score_spread":0.2363909273960029,"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."}}