{"id":"W2756172454","doi":"10.1002/cjce.23022","title":"Effect of nitrogen doping on reactivity of coal char in reducing NO","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Char; Nitriding; Nitrogen; Ammonium bicarbonate; Coal; Porosity; Chemical engineering; Combustion; Chemistry; Reactivity (psychology); Bituminous coal; Materials science; Inorganic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001555163,0.0002432363,0.000186753,0.0001681001,0.0001362008,0.0001433539,0.0001583328,0.0001765937,0.0003909043],"category_scores_gemma":[0.0002134607,0.0001277313,0.0001823964,0.0001239641,0.000166605,0.0001874077,0.0001249591,0.0001705498,0.00007937347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529215,"about_ca_system_score_gemma":0.0001257878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000974813,"about_ca_topic_score_gemma":0.003243553,"domain_scores_codex":[0.9998932,0.00001800588,0.000007723859,0.00002381913,0.00003640379,0.00002090807],"domain_scores_gemma":[0.9999117,0.00002636103,0.00002145049,0.000009163281,0.00001929773,0.00001208885],"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":[0.0001774892,0.00001906175,0.0003149966,0.00006053156,0.000005139204,0.00002841143,0.0000209017,0.0001690015,0.9975925,0.00004082803,0.000009900305,0.001561256],"study_design_scores_gemma":[0.000004731613,0.0001271301,0.001422627,0.000002808028,0.000009893858,0.00002332938,0.00001058616,0.0007671806,0.9973442,0.00001060831,0.0002734061,0.000003547825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986696,0.0002885697,0.0005163269,0.00001140946,0.000008095416,0.00000608456,0.00001953522,0.000009740417,0.000470636],"genre_scores_gemma":[0.9978555,0.0002951319,0.001258232,0.00001238791,0.000002715835,0.000006623789,0.00003444032,0.000008726392,0.000526271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000974813,"threshold_uncertainty_score":0.001938343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008380229951057699,"score_gpt":0.233959236354968,"score_spread":0.2255790064039103,"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."}}