{"id":"W2810171983","doi":"10.1002/cjce.23293","title":"Heterogeneous catalyst design: Zoned and layered catalysts in diesel vehicle aftertreatment monolith reactors","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Science Foundation of Sri Lanka","keywords":"Catalysis; Diesel fuel; Diesel particulate filter; Diesel exhaust; Selective catalytic reduction; Monolith; Particulates; Diesel engine; Gasoline; Chemical engineering; Diesel exhaust fluid; Waste management; Environmental science; Materials science; Chemistry; Automotive engineering; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005769735,0.0001454723,0.0002319211,0.0001223125,0.00007199335,0.0001338082,0.0004460409,0.00005670533,0.00005408967],"category_scores_gemma":[0.0003482596,0.0001054213,0.00003072619,0.0001917922,0.0002466325,0.0001846409,0.00005045516,0.000102783,0.00001949163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399931,"about_ca_system_score_gemma":0.000314425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686491,"about_ca_topic_score_gemma":0.0008445898,"domain_scores_codex":[0.9988989,0.00002115257,0.0003397751,0.0001649976,0.0001894459,0.0003857833],"domain_scores_gemma":[0.9991179,0.00009988893,0.0001137729,0.0002226481,0.00009552772,0.0003502305],"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":[0.00003299731,0.000006486057,0.00007065145,0.00001614561,0.000008315204,0.00008132257,0.0007190247,0.000962387,0.997953,0.00001120978,0.00004314139,0.00009529509],"study_design_scores_gemma":[0.0002398341,0.0000592836,0.0001388811,0.00007328504,0.00001476218,0.000353887,0.0000137505,0.002121701,0.9966729,0.000116923,0.00007054017,0.0001243117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988254,0.0003251459,0.0002747895,0.0002190433,0.0002385897,0.00008192533,0.000008913231,0.00001052395,0.00001568781],"genre_scores_gemma":[0.9989241,0.00000224993,0.0008677226,0.00003428248,0.0001377568,0.000005344004,8.815788e-7,0.00001533159,0.00001228307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001841901,"threshold_uncertainty_score":0.4298954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316801130722961,"score_gpt":0.2109204502173855,"score_spread":0.1977524389101559,"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."}}