{"id":"W2934011228","doi":"10.4271/2019-01-0737","title":"An Investigation on the Regeneration of Lean NOx Trap Using Ethanol and n-Butanol","year":2019,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"NOx; Trap (plumbing); Regeneration (biology); Butanol; Ethanol; Chemistry; Waste management; Environmental science; Engineering; Combustion; Cell biology; Biology; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001793573,0.0004763558,0.0006139444,0.000149103,0.0003808076,0.0002141869,0.001197741,0.0004480477,0.0005870275],"category_scores_gemma":[0.0007890214,0.0003415124,0.0001192581,0.0006118941,0.001942565,0.0008865111,0.000293289,0.0004586452,0.00008465177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736746,"about_ca_system_score_gemma":0.0001679068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006720181,"about_ca_topic_score_gemma":0.004799812,"domain_scores_codex":[0.9961528,0.0002113269,0.0008991926,0.001116849,0.001046785,0.0005730589],"domain_scores_gemma":[0.9972157,0.0004868616,0.0004130908,0.001521414,0.0001441986,0.0002186672],"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":[0.000156659,0.000105489,0.0001069265,0.00006527187,0.000004715075,0.000003408242,0.00008711958,0.0001207097,0.9774148,0.02146476,0.0000856824,0.0003844415],"study_design_scores_gemma":[0.000500422,0.001970041,0.3200511,0.0004000977,0.00005898107,0.00009722811,0.0002105349,0.000005116399,0.6637682,0.01180575,0.0004643173,0.0006682269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938257,0.00007059273,0.000003212254,0.001981259,0.0003600042,0.0009477971,0.0000502506,0.0005624088,0.002198764],"genre_scores_gemma":[0.9950769,0.00005457672,0.003127342,0.001398221,0.0001087165,0.00007999977,0.00001746884,0.00005896626,0.00007779609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3199442,"threshold_uncertainty_score":0.9999037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262243504984784,"score_gpt":0.2674518778556055,"score_spread":0.2412275273571271,"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."}}