{"id":"W2274654232","doi":"10.4271/2005-01-0140","title":"HCCI Combustion With Internal Fuel Reforming, Varied Levels of EGR and Charge Preheat - A Computational Study","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Combustion; Homogeneous charge compression ignition; Automotive engineering; Materials science; Environmental science; Nuclear engineering; Chemistry; Combustion chamber; 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":[0.0003333423,0.0004896412,0.0009699215,0.0004495091,0.0006957965,0.0008819918,0.001064636,0.0009309807,0.002159164],"category_scores_gemma":[0.0009058879,0.0003003943,0.0008698087,0.0007903938,0.000850847,0.000546037,0.000387606,0.0006484283,0.0001565462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009317771,"about_ca_system_score_gemma":0.0008180275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892805,"about_ca_topic_score_gemma":0.01326631,"domain_scores_codex":[0.9999017,0.00001897088,0.000005762707,0.00001787589,0.00002235384,0.00003337329],"domain_scores_gemma":[0.9993379,0.0004645599,0.00005679194,0.00004978791,0.00005579567,0.00003517747],"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":[0.0004485323,0.0003624491,0.005701078,0.0001835177,0.00004857089,0.0002511104,0.00007408296,0.9789292,0.007098165,0.002067023,0.0003543257,0.004481915],"study_design_scores_gemma":[0.00008636328,0.0001735832,0.002106169,0.000006377196,0.00001915224,0.00002965229,0.00006300866,0.9905766,0.006406441,0.0002745051,0.0002403858,0.00001766142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934455,0.00006342455,0.001805059,0.00006718501,0.000008131491,0.00002413865,0.0003315444,0.00005760927,0.004197468],"genre_scores_gemma":[0.9966908,0.00006863527,0.002136317,0.00001448104,0.000004902772,0.00002424394,0.0003074506,0.0000221257,0.0007311152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01892805,"threshold_uncertainty_score":0.03763574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410079141520165,"score_gpt":0.2543547992976038,"score_spread":0.2402540078824021,"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."}}