{"id":"W4235394574","doi":"10.32920/ryerson.14663562","title":"Supersonic Windtunnel Noise Attenuation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind tunnel; Acoustics; Silencer; Aerodynamics; Supersonic wind tunnel; Noise (video); Sound pressure; Hypersonic wind tunnel; Supersonic speed; Acoustic attenuation; Sound power; Transonic; Aeroacoustics; Shock wave; Attenuation; Nozzle; Physics; Engineering; Sound (geography); Computer science; Aerospace engineering; Optics; Mechanics; Inlet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002740645,0.0003995272,0.0002596346,0.0002468271,0.0002287746,0.0003200651,0.0002924474,0.0002783389,0.004513418],"category_scores_gemma":[0.0003737231,0.0001128014,0.0001838943,0.0001624666,0.0002083987,0.0002599595,0.000519727,0.0002579872,0.0005844914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120359,"about_ca_system_score_gemma":0.0002766853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057179,"about_ca_topic_score_gemma":0.003927814,"domain_scores_codex":[0.9997669,0.00002264235,0.0000145504,0.00003096672,0.0001080686,0.00005685145],"domain_scores_gemma":[0.9996744,0.0000591099,0.0000291532,0.00002717882,0.0001792004,0.00003079691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001205132,0.0001171985,0.006373779,0.0003597725,0.00002075949,0.0004296581,0.000359732,0.01431251,0.8964932,0.00141442,0.0008945195,0.07801922],"study_design_scores_gemma":[0.00008973391,0.003547091,0.07315721,0.00008516676,0.0001396301,0.0008805493,0.0005684348,0.08915116,0.8077044,0.0007543594,0.0238393,0.00008296625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954929,0.0002772943,0.03448268,0.00005196692,0.00008551693,0.00003810134,0.0001550307,0.0005710698,0.009409385],"genre_scores_gemma":[0.9889098,0.0001381768,0.005131286,0.00003883047,0.00001390163,0.00001854279,0.0002780317,0.0000509473,0.005420499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004513418,"threshold_uncertainty_score":0.01509887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160859329823861,"score_gpt":0.2091560850227462,"score_spread":0.1975474917245075,"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."}}