{"id":"W4280618830","doi":"10.18280/jesa.550210","title":"In-Cylinder Cold-Flow Analysis - ‘A Comparison of Crank-Slider Engine and Crank-Rocker Engine’","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yayasan UTP; Universiti Teknologi Petronas","keywords":"Crank; Turbulence; Cylinder; Four-stroke engine; Piston (optics); Automotive engineering; Internal combustion engine; Mechanical engineering; Compression ratio; Computational fluid dynamics; Petrol engine; Flow (mathematics); Combustion; Mechanics; Engineering; Combustion chamber; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005567208,0.0003426882,0.0009403211,0.001058869,0.000223829,0.00005210713,0.000756785,0.0001124168,0.0005262071],"category_scores_gemma":[0.0006594415,0.0003416179,0.000179223,0.001964971,0.0001089059,0.0004298345,0.0005938142,0.00113006,0.000007359358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171542,"about_ca_system_score_gemma":0.00004625354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001786671,"about_ca_topic_score_gemma":0.000008288448,"domain_scores_codex":[0.997148,0.0001421661,0.001139535,0.0003995168,0.0006796289,0.0004911186],"domain_scores_gemma":[0.9981781,0.0004526632,0.0004495074,0.0006399251,0.0001419656,0.0001378411],"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":[0.00002466813,0.0001553778,0.005730502,0.0001315503,0.0005617834,0.0001065932,0.000539575,0.954012,0.00413323,0.0003783923,0.0007901302,0.03343623],"study_design_scores_gemma":[0.0009919651,0.000110662,0.02820352,0.0000658442,0.0003438087,0.0002301483,0.0005845512,0.9642174,0.002322356,0.0008004615,0.00175246,0.0003767794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5412302,0.005872752,0.4502766,0.0006134901,0.0004405124,0.0003335991,0.00009508832,0.0007743652,0.0003633715],"genre_scores_gemma":[0.9599355,0.000104284,0.0393704,0.00004676202,0.00006214808,0.00002230378,0.00001321935,0.0000670178,0.0003783042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4187053,"threshold_uncertainty_score":0.9999036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679915067204399,"score_gpt":0.2698452030984437,"score_spread":0.2530460524263997,"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."}}