{"id":"W2801381987","doi":"10.1139/tcsme-2013-0052","title":"A STUDY ON THE ENGINE COMPARTMENT AIRFLOW OF A LIGHT AIRCRAFT USING COMPUTATIONAL FLUID DYNAMICS","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airflow; Duct (anatomy); Computational fluid dynamics; Inlet; Fluent; Compartment (ship); Mechanics; Environmental science; Marine engineering; Engineering; Simulation; Mechanical engineering; Geology; Physics","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":[0.0001871999,0.0003438604,0.0004349308,0.0003186715,0.0005301681,0.000538083,0.0003322687,0.0005173134,0.0005729279],"category_scores_gemma":[0.0005044133,0.0001295469,0.0004297071,0.0001971333,0.0003434779,0.0004129501,0.0002232118,0.0002867663,0.00009339452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259258,"about_ca_system_score_gemma":0.0007177059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106087,"about_ca_topic_score_gemma":0.007980165,"domain_scores_codex":[0.9999017,0.00002186494,0.000005020482,0.00002052869,0.0000319677,0.00001894101],"domain_scores_gemma":[0.9997973,0.0001080331,0.00001522963,0.00001527794,0.00004235309,0.00002184275],"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":[0.0006541859,0.0006656867,0.03389949,0.0003402145,0.00005610128,0.001434265,0.0006733085,0.683392,0.2338006,0.003585883,0.0005943181,0.04090388],"study_design_scores_gemma":[0.0000318828,0.0003222976,0.008423282,0.00001669805,0.00002240092,0.0001375529,0.0001656907,0.9616055,0.02772537,0.0002438061,0.001278965,0.00002666025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832295,0.0001209169,0.01474815,0.00003731277,0.00001523415,0.00003607624,0.00007423,0.00008336842,0.001655278],"genre_scores_gemma":[0.9927448,0.00008557797,0.006346692,0.00001093278,0.000004459236,0.00001171927,0.00008438646,0.00001398282,0.0006974025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0106087,"threshold_uncertainty_score":0.0210939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739781344192835,"score_gpt":0.2278352960982561,"score_spread":0.2104374826563278,"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."}}