{"id":"W1878963778","doi":"10.1007/s12239-015-0074-6","title":"Control of a dual-loop exhaust gas recirculation system for a turbocharged Diesel engine","year":2015,"lang":"en","type":"article","venue":"International Journal of Automotive Technology","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exhaust gas recirculation; Exhaust manifold; Control theory (sociology); Turbocharger; Inlet manifold; Linear-quadratic regulator; Dual loop; Feed forward; Diesel fuel; Automotive engineering; Controller (irrigation); Diesel engine; Engineering; Control system; Loop (graph theory); Control engineering; Control (management); Computer science; Internal combustion engine; Mathematics; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070594,0.0008305867,0.0007929659,0.0004531957,0.0008911968,0.001008298,0.001143268,0.0006053501,0.001758837],"category_scores_gemma":[0.0004129762,0.0003025961,0.00030885,0.0001462397,0.0004193482,0.0002888972,0.0004909956,0.0003866251,0.0003603536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654581,"about_ca_system_score_gemma":0.000483503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003342343,"about_ca_topic_score_gemma":0.003999085,"domain_scores_codex":[0.9997025,0.00004437269,0.00002284788,0.00009885757,0.00008002722,0.00005120321],"domain_scores_gemma":[0.9996306,0.0001013826,0.00005449449,0.00002713565,0.0001380515,0.00004845916],"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":[0.00507018,0.001106683,0.003906971,0.0008553742,0.0002282091,0.001321985,0.0007723139,0.09814208,0.7598,0.001705484,0.002613123,0.1244775],"study_design_scores_gemma":[0.0005451335,0.002895965,0.005965896,0.00003438667,0.000193042,0.0003384834,0.0001033495,0.8303196,0.1547904,0.0004517282,0.004251998,0.0001099122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815271,0.0004403782,0.1077851,0.0002603907,0.0003974742,0.0001627798,0.0001222211,0.001717291,0.007587304],"genre_scores_gemma":[0.99732,0.00002594655,0.001387817,0.00002236448,0.00001563768,0.00001932969,0.00001663338,0.00001177328,0.001180414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003342343,"threshold_uncertainty_score":0.006645739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924036960252939,"score_gpt":0.2761131429273067,"score_spread":0.2568727733247773,"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."}}