{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001364694,0.00009577974,0.0002092618,0.0003149761,0.00001521807,0.000003411674,0.0001065246,0.00005370567,0.00002089528],"category_scores_gemma":[0.00004228771,0.00008556517,0.00006307846,0.00009844529,0.00004720472,0.0001611956,0.00007014776,0.0001293282,1.218766e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004360855,"about_ca_system_score_gemma":0.000002684475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001683772,"about_ca_topic_score_gemma":2.683207e-8,"domain_scores_codex":[0.999314,0.00001286507,0.0003288125,0.00007771931,0.0001987127,0.00006790253],"domain_scores_gemma":[0.999568,0.0001221089,0.0001874869,0.00005336611,0.00002940817,0.00003960895],"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":[0.00001761759,0.00002542311,0.0005162811,0.00001218502,0.0002474042,4.086142e-7,0.00005290163,0.732743,0.249983,0.0002499962,4.028464e-7,0.01615132],"study_design_scores_gemma":[0.0003527595,0.00005563853,0.03557711,0.00007602898,0.0001239612,0.00003363419,0.00007640346,0.9200814,0.04335282,0.0001303807,0.00005818867,0.00008169171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5563388,0.00006648655,0.4434639,0.00003064278,0.00005704344,0.00001312601,0.000005373795,0.00001086054,0.00001368171],"genre_scores_gemma":[0.9535815,0.00007617944,0.04627765,0.000006937829,0.00002933182,0.000001030417,0.00001282647,0.000008799142,0.000005747692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3972426,"threshold_uncertainty_score":0.3489246,"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."}}