{"id":"W2321122223","doi":"10.2514/6.2013-2042","title":"Compressor Stage Broadband Noise Prediction using a Large-Eddy Simulation and Comparisons with a Cascade Response Model","year":2013,"lang":"en","type":"article","venue":"","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Cascade; Broadband; Stage (stratigraphy); Noise (video); Gas compressor; Computer science; Large eddy simulation; Electronic engineering; Physics; Engineering; Aerospace engineering; Mechanics; Telecommunications; Turbulence; Geology; Artificial intelligence","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":[0.0003648006,0.0005365213,0.000438018,0.0003576405,0.0003446235,0.0004062759,0.0005044874,0.0008347359,0.0009674047],"category_scores_gemma":[0.0008731771,0.0002292522,0.0004429857,0.0002654851,0.0003309674,0.0004479399,0.0003308693,0.0004030059,0.0001406479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004692764,"about_ca_system_score_gemma":0.0005589587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415026,"about_ca_topic_score_gemma":0.008185955,"domain_scores_codex":[0.9999003,0.00003360216,0.000005930042,0.00001560022,0.00003136918,0.00001316717],"domain_scores_gemma":[0.9996382,0.0002077761,0.00003382891,0.00003031831,0.00006348337,0.00002634206],"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":[0.00007993366,0.00006936139,0.001206515,0.00003082778,0.00001015764,0.00006960205,0.0000355343,0.9880455,0.006255756,0.0009374577,0.0001445092,0.003114777],"study_design_scores_gemma":[0.000003365459,0.00001111668,0.000133509,5.619822e-7,8.698036e-7,0.000001528122,0.000002320702,0.99944,0.0003543396,0.00002830402,0.00002249978,0.000001501695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8900646,0.0001984676,0.0992515,0.0002030684,0.00004406827,0.0001109145,0.0001662504,0.0005568747,0.009404326],"genre_scores_gemma":[0.9883817,0.00005970987,0.01019882,0.00001167688,0.000007644356,0.00004403284,0.00006655466,0.00003373305,0.001196166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01415026,"threshold_uncertainty_score":0.02813578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915903445709749,"score_gpt":0.2484153453138243,"score_spread":0.2292563108567268,"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."}}