{"id":"W2621186924","doi":"10.2514/6.2017-3215","title":"Aeroacoustics of an axial ducted low Mach-number stage: numerical and experimental investigation","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Safran Electronics (Canada)","funders":"","keywords":"Mach number; Aeroacoustics; Stator; Computational aeroacoustics; Stall (fluid mechanics); Acoustics; Inlet; Mechanics; Computer simulation; Physics; Turbulence; Inflow; Static pressure; Computational fluid dynamics; Sound pressure; Engineering; Mechanical engineering","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":[0.0006149776,0.0003105158,0.0005689169,0.0003188976,0.0006573037,0.0006244208,0.0007070795,0.0007836683,0.002904645],"category_scores_gemma":[0.001766631,0.0003024337,0.0003353976,0.0003868203,0.001162459,0.000617798,0.0006103139,0.0005439143,0.0004186915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469674,"about_ca_system_score_gemma":0.000418567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006094,"about_ca_topic_score_gemma":0.001061727,"domain_scores_codex":[0.999485,0.00008231941,0.00002702991,0.00006244401,0.0002868838,0.00005625229],"domain_scores_gemma":[0.9985712,0.000776384,0.0001176097,0.0001834955,0.0002498951,0.0001014145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001129153,0.0002791125,0.003160358,0.0001703004,0.00001034181,0.0002494884,0.0003398453,0.009892785,0.9754514,0.001108855,0.0001554021,0.008053021],"study_design_scores_gemma":[0.0002391154,0.003290178,0.02361203,0.00002645823,0.00003571502,0.000440992,0.0002761442,0.1100951,0.8591031,0.0006215121,0.002184307,0.00007519179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793722,0.000112878,0.01663676,0.00006446984,0.00003619915,0.00008604093,0.0001106032,0.0001002494,0.003480573],"genre_scores_gemma":[0.9923653,0.00005273694,0.005379251,0.000009369159,0.000007254931,0.00002173632,0.00004033934,0.00001364146,0.002110332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002904645,"threshold_uncertainty_score":0.009717047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429842283412201,"score_gpt":0.2616683901424108,"score_spread":0.2473699673082888,"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."}}