{"id":"W2318077879","doi":"10.2514/6.2007-16","title":"Investigation of Noise Sources in Turbulent Hot Jets Using Large Eddy Simulation Data","year":2007,"lang":"en","type":"article","venue":"45th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; Purdue Research Foundation; Florida State University; Purdue University","keywords":"Jet noise; Mach number; Physics; Mechanics; Noise (video); Jet (fluid); Large eddy simulation; Acoustics; Turbulence; Ambient noise level; Computational physics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005081267,0.0005915225,0.0004886439,0.0005472985,0.0003551604,0.0005332105,0.0004046489,0.0004624087,0.0003886438],"category_scores_gemma":[0.001342532,0.0002648359,0.0004627548,0.0003821815,0.0003751593,0.000522025,0.0003007442,0.0002990858,0.00005651997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003365659,"about_ca_system_score_gemma":0.0002599083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005342536,"about_ca_topic_score_gemma":0.004326773,"domain_scores_codex":[0.9998165,0.00005042166,0.00001920627,0.00003059486,0.00006062301,0.00002268218],"domain_scores_gemma":[0.99922,0.0004955409,0.00007802695,0.00006437374,0.0001053562,0.00003671545],"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":[0.001082097,0.000457158,0.05247377,0.0001972273,0.0001152731,0.0006952334,0.0003948907,0.8205563,0.1036655,0.001223417,0.0002502124,0.0188889],"study_design_scores_gemma":[0.00004305076,0.0001131619,0.0132068,0.000005200602,0.00001573924,0.00002600504,0.00003234902,0.9684695,0.01782968,0.0001189137,0.0001201788,0.00001946505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923236,0.00005096151,0.007007266,0.00001985319,0.000007315674,0.00001779908,0.00008067202,0.0001270893,0.0003654506],"genre_scores_gemma":[0.9963096,0.00003385546,0.003297493,0.000005765039,0.00000450592,0.00001358055,0.0001760232,0.00001934022,0.0001397924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005342536,"threshold_uncertainty_score":0.01062292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508071379175165,"score_gpt":0.2874911101347581,"score_spread":0.2424103963430064,"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."}}