{"id":"W2905753711","doi":"10.1002/cjce.23439","title":"Simultaneous removal of SO<sub>2</sub> and NO by CO reduction over prevulcanized Fe<sub>2</sub>O<sub>3</sub>/AC catalysts","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Catalysis; Activated carbon; Redox; Carbon fibers; Cobalt; Combustion; Incipient wetness impregnation; Selective catalytic reduction; Chemistry; Denitrification; Inorganic chemistry; Materials science; Analytical Chemistry (journal); Nuclear chemistry; Physical chemistry; Nitrogen; Selectivity; Environmental chemistry; Adsorption; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005934698,0.0004789803,0.0007255689,0.0003059014,0.0001528559,0.0001169608,0.0004602938,0.0004540942,0.00001209285],"category_scores_gemma":[0.001088315,0.0004473364,0.0002120672,0.0004001006,0.0002488704,0.0002448658,0.00003645555,0.001145529,0.00001652982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256742,"about_ca_system_score_gemma":0.0004763094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002286191,"about_ca_topic_score_gemma":0.0001023154,"domain_scores_codex":[0.9973946,0.00005168554,0.0009632749,0.0002897239,0.0004859979,0.0008147564],"domain_scores_gemma":[0.9976041,0.0002708608,0.0002902949,0.000402072,0.0003810838,0.001051547],"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":[0.0001065879,0.00001067958,0.000003489712,0.00007989592,0.0002023403,0.0001037625,0.0002753184,0.01303644,0.9734733,0.00001056982,0.006455345,0.006242257],"study_design_scores_gemma":[0.001348898,0.00008576925,0.000007322798,0.0003544814,0.0001387645,0.001259926,0.00001504242,0.03451054,0.9589662,0.00002321357,0.002863401,0.0004264464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969341,0.0008569594,0.0003326721,0.0001811944,0.001091798,0.0002930742,0.0000637765,0.00008422964,0.0001622254],"genre_scores_gemma":[0.9977694,0.00006595699,0.0001555919,0.00004674996,0.001790371,0.000006495949,0.00001560797,0.0001388981,0.00001094052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0214741,"threshold_uncertainty_score":0.9997978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005185552078480699,"score_gpt":0.1852457651214433,"score_spread":0.1800602130429626,"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."}}