{"id":"W4281650186","doi":"10.1177/09544070221103361","title":"Combustion control of DME HCCI using charge dilution and spark assistance","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Windsor; Ford Motor Company","keywords":"Combustion; Homogeneous charge compression ignition; Ignition system; Automotive engineering; Dilution; Engine knocking; Mean effective pressure; Materials science; Nuclear engineering; Combustion chamber; Internal combustion engine; Environmental science; Chemistry; Compression ratio; Engineering; Thermodynamics; 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":[0.0002127633,0.000285426,0.0003200028,0.0002184009,0.0001521374,0.0002627203,0.0003433573,0.0002224049,0.0007368852],"category_scores_gemma":[0.0002178365,0.0001011814,0.0001585281,0.0002139447,0.000320418,0.0003215034,0.0003637253,0.0002876894,0.0001430562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169869,"about_ca_system_score_gemma":0.0001699853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000807312,"about_ca_topic_score_gemma":0.001387667,"domain_scores_codex":[0.9998816,0.000009007159,0.000006883041,0.0000190791,0.00006117232,0.0000222053],"domain_scores_gemma":[0.9999188,0.00001971016,0.00002334094,0.000005905129,0.00002137914,0.00001082942],"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":[0.0003294149,0.00004324686,0.0007365584,0.0001379846,0.00000735885,0.00008993859,0.00004357383,0.002296228,0.9872098,0.0003762584,0.0001021505,0.008627437],"study_design_scores_gemma":[0.00001062112,0.0001450809,0.001281864,0.00000290478,0.000004337212,0.0000337762,0.00001962818,0.0176306,0.9799631,0.00005057606,0.0008493925,0.000008039715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825832,0.0003935227,0.01435069,0.00006495257,0.00002802771,0.00003645894,0.0001138313,0.0001230611,0.002306262],"genre_scores_gemma":[0.9949003,0.0001721236,0.003603195,0.00001556601,0.000004439522,0.00001353614,0.00005704215,0.00001218446,0.00122168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000807312,"threshold_uncertainty_score":0.003025532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091331425151646,"score_gpt":0.2103297828584433,"score_spread":0.2011966403432787,"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."}}