{"id":"W2993067496","doi":"","title":"Jet noise prediction using a fully unstructured large eddy simulation solver","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Jet noise; Strouhal number; Large eddy simulation; Nozzle; Aerodynamics; Unstructured grid; Acoustics; Jet (fluid); Boundary layer; Mechanics; Detached eddy simulation; Turbulence; Supersonic speed; Noise (video); Computational fluid dynamics; Physics; Engineering; Aerospace engineering; Computer science; Reynolds-averaged Navier–Stokes equations; Reynolds number","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004181197,0.0006732181,0.0009607835,0.0004489098,0.0005718024,0.0009225431,0.001067037,0.001123358,0.003525939],"category_scores_gemma":[0.001705618,0.0003698886,0.0006042686,0.0004729948,0.000416916,0.0004953071,0.0006139735,0.0006703316,0.0006019314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006011766,"about_ca_system_score_gemma":0.001815816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686598,"about_ca_topic_score_gemma":0.009068808,"domain_scores_codex":[0.9997383,0.00004690569,0.00001497464,0.0000322654,0.0001308052,0.00003664799],"domain_scores_gemma":[0.999199,0.0003404586,0.00007328387,0.00007011901,0.0002489895,0.00006828555],"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":[0.00004784377,0.0000385985,0.0007107582,0.00002963839,0.00001499756,0.00007839492,0.00002629136,0.9894277,0.003003557,0.001486562,0.0009523988,0.00418322],"study_design_scores_gemma":[0.000009893497,0.000004378597,0.0001023287,0.000001010765,9.317434e-7,0.000002815197,0.000001975176,0.9993472,0.0002319785,0.0001413683,0.0001538362,0.00000235642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3142114,0.0002815353,0.6369453,0.000567011,0.0003206317,0.0004219458,0.002757149,0.005280138,0.03921491],"genre_scores_gemma":[0.8374049,0.0001092592,0.1509848,0.0001126714,0.00005585116,0.0003366905,0.002198279,0.0005316737,0.008265882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01686598,"threshold_uncertainty_score":0.0335356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863643041352534,"score_gpt":0.2039671027703982,"score_spread":0.1853306723568729,"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."}}