{"id":"W4397004526","doi":"10.2514/1.j063714","title":"Large-Eddy Simulation and Aeroacoustic Prediction of Supercritical Airfoil Side-Edge Noise","year":2024,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Bombardier","keywords":"Airfoil; Acoustics; Large eddy simulation; Noise (video); Supercritical fluid; Detached eddy simulation; Aeroacoustics; Enhanced Data Rates for GSM Evolution; Physics; Aerospace engineering; Geology; Computational fluid dynamics; Computer science; Mechanics; Engineering; Turbulence; Reynolds-averaged Navier–Stokes equations; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683633,0.0004035712,0.0004848738,0.0003591241,0.0005074512,0.0004874806,0.0005167565,0.0007741414,0.0009120257],"category_scores_gemma":[0.0009879265,0.0002193634,0.0004445011,0.0001851376,0.0005605241,0.0003462432,0.0003322876,0.0004497103,0.00008201868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005652474,"about_ca_system_score_gemma":0.0007351026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01917563,"about_ca_topic_score_gemma":0.009507956,"domain_scores_codex":[0.9998925,0.0000209132,0.000005019943,0.00001295854,0.00003620686,0.00003243566],"domain_scores_gemma":[0.9994081,0.0003175367,0.00005584607,0.00003505236,0.0001128336,0.00007061321],"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":[0.0001390409,0.00009927881,0.005299594,0.00002881259,0.00001951178,0.0001930651,0.00005996716,0.9810873,0.01020637,0.000577883,0.0001113364,0.002177944],"study_design_scores_gemma":[0.000009886523,0.00002216742,0.0007457698,9.753329e-7,0.000001628052,0.000005022732,0.000009244987,0.998237,0.0009010095,0.00003770564,0.00002718129,0.00000252681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928469,0.00001782261,0.004864033,0.00004379515,0.00001027303,0.00001860733,0.00005084369,0.00007221674,0.002075511],"genre_scores_gemma":[0.9983303,0.000007868718,0.00127617,0.000006761855,0.000002168085,0.000009966248,0.00004140902,0.00001138004,0.0003140784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917563,"threshold_uncertainty_score":0.03812808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009859325408470482,"score_gpt":0.2409651592357773,"score_spread":0.2311058338273068,"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."}}