{"id":"W2097370487","doi":"10.5897/jmer.9000043","title":"Study of multiple injections in (Homogeneous charge compression ignition) HCCI engine using computational fluid dynamics","year":2011,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homogeneous charge compression ignition; Computational fluid dynamics; Turbulence; Combustion; Mechanics; Diesel engine; Diesel fuel; Combustion chamber; Fuel injection; Ignition system; Flow (mathematics); Internal combustion engine; Automotive engineering; Physics; Thermodynamics; Engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002392524,0.0003365746,0.000454259,0.0003437579,0.0003233165,0.000611414,0.0003255808,0.0004854308,0.0006703214],"category_scores_gemma":[0.000452522,0.0001700111,0.0004891406,0.0002444518,0.0004042475,0.0004262426,0.0002482933,0.0003498734,0.00006158079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974799,"about_ca_system_score_gemma":0.0003637536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276491,"about_ca_topic_score_gemma":0.002548762,"domain_scores_codex":[0.9998727,0.00001552995,0.000006147368,0.00002045622,0.00005905963,0.00002605944],"domain_scores_gemma":[0.9997008,0.0001524178,0.00005373522,0.00001310404,0.00005546635,0.00002450605],"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":[0.0006679878,0.0004821673,0.01770676,0.0004990365,0.00009002859,0.001551804,0.000281638,0.8192602,0.1213453,0.003729835,0.0007010611,0.03368411],"study_design_scores_gemma":[0.00001745415,0.0004001983,0.004897574,0.00001246154,0.00002512284,0.00009975793,0.0000622937,0.9539127,0.0397249,0.0003164941,0.0005143794,0.000016607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813613,0.0004529389,0.01412414,0.0001010057,0.00003807366,0.00003156203,0.00008311921,0.0001034912,0.003704284],"genre_scores_gemma":[0.9969094,0.0001123571,0.002222633,0.000005678806,0.000004454482,0.000008465545,0.00003707131,0.00000587346,0.0006940771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004276491,"threshold_uncertainty_score":0.008503199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119840695970229,"score_gpt":0.3347677295112405,"score_spread":0.2227836599142176,"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."}}