{"id":"W4245351051","doi":"10.5383/ijtee.09.01.007","title":"Computational Analysis of Performance and Emissions of a Compression Ignition Engine under various Air Induction Methods","year":2014,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Technology Srinagar","keywords":"Turbocharger; Intercooler; Automotive engineering; Naturally aspirated engine; Four-stroke engine; Compression ratio; Ignition system; Engine power; Environmental science; Power (physics); Computer science; Exhaust gas recirculation; Internal combustion engine; Engineering; Combustion; Mechanical engineering; Chemistry; Physics; Turbine; Gas compressor; Aerospace engineering; Combustion chamber; Thermodynamics","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":[0.0002912928,0.0005446136,0.0007553649,0.0005276383,0.0006121659,0.0007214576,0.0007982061,0.0008896793,0.001744785],"category_scores_gemma":[0.001180643,0.0002715196,0.0006351937,0.0005209082,0.0004896793,0.0004553626,0.000327475,0.0004466035,0.000159158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006518837,"about_ca_system_score_gemma":0.0007171175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007736,"about_ca_topic_score_gemma":0.005862256,"domain_scores_codex":[0.9998509,0.00002759282,0.00001090261,0.00001848543,0.0000527715,0.00003942397],"domain_scores_gemma":[0.9994111,0.0003955873,0.00004883093,0.00003079513,0.00008650566,0.00002716301],"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":[0.0002834248,0.0001162921,0.002684535,0.0001340655,0.00002490239,0.0001382096,0.00005527672,0.9858203,0.006188329,0.0005471211,0.000198263,0.00380925],"study_design_scores_gemma":[0.00002010901,0.0001318247,0.001800967,0.000006952867,0.00001394669,0.00002059031,0.0000425667,0.9936381,0.004019606,0.0001399913,0.0001555615,0.000009732059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856234,0.0001103922,0.005614013,0.0000987568,0.00001610194,0.00003913037,0.0004502537,0.000105069,0.007942942],"genre_scores_gemma":[0.996281,0.00006595321,0.002350947,0.00001094538,0.000003932273,0.0000469584,0.0002631462,0.00001591145,0.0009613273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007736,"threshold_uncertainty_score":0.02003741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008201292897179316,"score_gpt":0.2449687070406734,"score_spread":0.2367674141434941,"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."}}