{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001157767,0.0003267436,0.0003930053,0.00005034638,0.00007892452,0.0001233086,0.000305961,0.0003762069,0.0001741045],"category_scores_gemma":[0.00004469115,0.0003410108,0.00005819134,0.00003083079,0.0001835707,0.0001016711,0.0003800063,0.0005251938,0.000006034422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007778253,"about_ca_system_score_gemma":0.00005409637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190149,"about_ca_topic_score_gemma":0.0000131379,"domain_scores_codex":[0.9987814,0.00002460491,0.0003693197,0.0003507427,0.0002502809,0.0002236572],"domain_scores_gemma":[0.9989681,0.00002643846,0.0001334073,0.000621344,0.00007854396,0.0001721351],"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":[0.00003685291,0.0001938968,0.001404674,0.001312091,0.0002419936,0.00004402084,0.001013013,0.8728288,0.1175208,0.002166513,0.001087656,0.002149757],"study_design_scores_gemma":[0.0002859222,0.00002984185,0.001063322,0.00006858135,0.00004387947,0.000006597018,0.0000934137,0.9843303,0.0128862,0.0007524683,0.00003379954,0.0004057034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598594,0.00008054552,0.03540146,0.00001104916,0.00124972,0.0002452882,0.0001968318,0.0001981184,0.00275761],"genre_scores_gemma":[0.9724042,0.00005163077,0.02658971,0.00001314583,0.0002762561,0.00001960051,0.0002489161,0.00007491271,0.0003216061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1115015,"threshold_uncertainty_score":0.9999042,"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."}}