{"id":"W4388918444","doi":"10.1016/j.ifacol.2023.10.1013","title":"CFD-based Data-driven Modeling of Reactivity and Stratification Dynamics for RCCI Engine Control","year":2023,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Michigan Technological University; Cummins Incorporated; Clemson University","keywords":"Ignition system; Combustion; Homogeneous charge compression ignition; Stratification (seeds); Computational fluid dynamics; Environmental science; Automotive engineering; Mechanics; Chemistry; Combustion chamber; Engineering; Aerospace engineering; Physics","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":[0.0001635471,0.0001725239,0.0002778118,0.0001307728,0.00004434708,0.000009332022,0.0002821055,0.0001313552,0.000004076488],"category_scores_gemma":[0.000657779,0.0001749662,0.00004346347,0.0002738166,0.00004484141,0.0001860429,0.0000637409,0.0001911897,0.000002462974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006287494,"about_ca_system_score_gemma":0.00002593721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124654,"about_ca_topic_score_gemma":0.0000231269,"domain_scores_codex":[0.9989865,0.000008773801,0.0002809345,0.0003467427,0.0001424735,0.0002345602],"domain_scores_gemma":[0.9988549,0.0003355096,0.00009446252,0.0005751138,0.00009426815,0.00004575802],"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":[0.00003614214,0.00003272907,0.00004230933,0.0001032024,0.00002815641,9.700699e-7,0.0000157151,0.9108583,0.07624906,0.001282669,0.00000177608,0.01134894],"study_design_scores_gemma":[0.000950901,0.00003974903,0.0000464201,0.00003691206,0.00004109168,0.000001022321,0.0001333584,0.9940141,0.004198015,0.0003425003,0.00002746734,0.0001684678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1322874,0.00004929806,0.864632,0.001046762,0.00005213395,0.0002920697,0.000795988,0.0008195587,0.00002480288],"genre_scores_gemma":[0.7485737,0.00001943781,0.2502638,0.0000116589,0.00003702435,0.00003472208,0.0009962423,0.00003008496,0.00003329412],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6162863,"threshold_uncertainty_score":0.7134913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113599902435339,"score_gpt":0.2902094777703559,"score_spread":0.2490734787460026,"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."}}