{"id":"W4229454438","doi":"10.3390/fluids7050161","title":"Advances in the Prediction of the Statistical Properties of Wall-Pressure Fluctuations under Turbulent Boundary Layers","year":2022,"lang":"en","type":"article","venue":"Fluids","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Centre Lyonnais d'Acoustique, Université de Lyon; Agence Nationale de la Recherche","keywords":"Boundary layer; Turbulence; Mechanics; Mach number; Compressibility; Airfoil; Physics; Boundary layer thickness; Spectral density; Compressible flow; Statistical physics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002050495,0.0009967834,0.0008428543,0.0007131396,0.0003726871,0.00108148,0.001154094,0.0008288461,0.0004438742],"category_scores_gemma":[0.007950034,0.0006388491,0.0006968825,0.0005354977,0.0009529436,0.0017809,0.0004965506,0.001077671,0.0002638315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006034775,"about_ca_system_score_gemma":0.001172571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176727,"about_ca_topic_score_gemma":0.00131532,"domain_scores_codex":[0.9993845,0.0001705022,0.00004335523,0.0001107379,0.0002463354,0.00004448338],"domain_scores_gemma":[0.9953266,0.003022881,0.0004561874,0.0004652279,0.0006545042,0.00007454707],"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":[0.00004105924,0.00008841831,0.003125999,0.0001172175,0.00002740438,0.00005126799,0.00007211215,0.9511148,0.01313373,0.01045233,0.0001285916,0.02164709],"study_design_scores_gemma":[0.000002141813,0.00001136818,0.0003334885,0.000003334719,0.000002068575,0.000007905218,0.000002552579,0.996419,0.002373133,0.0007201346,0.0001176245,0.000007183752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2035871,0.0007379187,0.7913366,0.0001539887,0.00005320646,0.0000553257,0.0001491036,0.0007602784,0.003166395],"genre_scores_gemma":[0.9388782,0.001166996,0.05855716,0.00003045806,0.00006964704,0.00006448957,0.0002081336,0.000160521,0.000864446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003176727,"threshold_uncertainty_score":0.01084417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009914843004668328,"score_gpt":0.2075282171448813,"score_spread":0.197613374140213,"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."}}