{"id":"W2077052586","doi":"10.2514/1.21462","title":"Investigation of Active Flow Control on Diesel Engine Aftertreatment","year":2008,"lang":"en","type":"article","venue":"Journal of Propulsion and Power","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Overheating (electricity); Diesel fuel; Automotive engineering; Environmental science; Transient (computer programming); Thermal; Diesel engine; Volumetric flow rate; Exhaust gas; Flow (mathematics); Materials science; Engineering; Mechanics; Waste management; Computer science; Thermodynamics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004813314,0.00009090525,0.000186635,0.0001119215,0.00002297984,0.000001796776,0.00005430905,0.00005841885,0.00006802457],"category_scores_gemma":[0.0001626037,0.0000628137,0.00004924735,0.00007528355,0.00004780814,0.0000966087,0.00001291326,0.0001659288,0.000003236056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004404682,"about_ca_system_score_gemma":0.00001060692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.587668e-7,"about_ca_topic_score_gemma":4.516158e-8,"domain_scores_codex":[0.9994585,0.00001088455,0.0002329777,0.00006278374,0.000154864,0.00007997587],"domain_scores_gemma":[0.9995356,0.00006004301,0.000155585,0.00008150148,0.0001155315,0.00005172148],"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":[0.003741611,0.0005106731,0.003935493,0.0001852278,0.0006177745,0.0003334604,0.00386757,0.0987829,0.7374765,0.001739512,0.004990686,0.1438186],"study_design_scores_gemma":[0.007493507,0.003310188,0.01668754,0.000583199,0.00009677056,0.000359318,0.0003970851,0.02365976,0.9394966,0.002527796,0.004934968,0.0004532713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802985,0.0002641117,0.01813619,0.0008047391,0.000125243,0.00009474764,0.000006404131,0.00004480219,0.0002252922],"genre_scores_gemma":[0.9934352,0.00009503033,0.006175205,0.00003273519,0.00002486295,0.000002505412,8.151887e-7,0.000008498654,0.0002251707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020201,"threshold_uncertainty_score":0.2561468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356928955128673,"score_gpt":0.2233594904298991,"score_spread":0.2097902008786124,"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."}}