{"id":"W2017756367","doi":"10.1109/acc.2014.6858910","title":"Feedforward/Feedback control of HCCI combustion timing","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Homogeneous charge compression ignition; Combustion; Feed forward; Ignition system; Automotive engineering; Controller (irrigation); Residual; Valve timing; Exhaust gas recirculation; Autoignition temperature; Control theory (sociology); Computer science; Internal combustion engine; Combustion chamber; Engineering; Chemistry; Control (management); Control engineering; Aerospace engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001013138,0.0001230448,0.000220116,0.00008683585,0.00002278692,0.000004529055,0.0001857745,0.0001021073,0.0001348283],"category_scores_gemma":[0.0004087071,0.0001130876,0.00006074004,0.0001623527,0.000048936,0.00009594118,0.00004225336,0.0001603297,0.00005964876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003380515,"about_ca_system_score_gemma":0.000003922486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005063009,"about_ca_topic_score_gemma":4.130795e-7,"domain_scores_codex":[0.9992713,0.000009005749,0.0002426826,0.0001479832,0.0001334408,0.0001955479],"domain_scores_gemma":[0.9993812,0.0001540685,0.00007095337,0.0002859184,0.00007015043,0.00003773126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002128647,0.00003854826,0.0003719172,0.00007041154,0.00003604358,5.211256e-7,0.00002432404,0.7140273,0.1270775,0.1306775,0.000342786,0.02731177],"study_design_scores_gemma":[0.001101601,0.00005552102,0.0002847942,0.00004105721,0.00002385175,0.00000354382,0.00007858217,0.7909709,0.2019569,0.002926228,0.002339677,0.0002174266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01888958,0.00002592894,0.9715034,0.0002294091,0.00007778953,0.00007921107,0.000002016393,0.0008756812,0.008316922],"genre_scores_gemma":[0.9789797,0.000004335624,0.020362,0.00004812724,0.00003366183,0.000008667905,0.000003522169,0.00002004924,0.0005399502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9600901,"threshold_uncertainty_score":0.4611579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106734526486727,"score_gpt":0.2262041568381022,"score_spread":0.2155307041894295,"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."}}