{"id":"W2902328516","doi":"10.1115/1.4042163","title":"Tonal Noise Prediction of a Modern Turbofan Engine With Large Upstream and Downstream Distortion","year":2018,"lang":"en","type":"article","venue":"Journal of Turbomachinery","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Safran Aircraft Engines; Grand Équipement National De Calcul Intensif","keywords":"Turbofan; Inlet; Distortion (music); Aeroacoustics; Noise (video); Acoustics; Annulus (botany); Impeller; Mechanics; Mechanical fan; Wake; Upstream (networking); Computational fluid dynamics; Dynamic mode decomposition; Physics; Engineering; Aerospace engineering; Computer science; Materials science; Sound pressure; Mechanical engineering; Telecommunications","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":[0.0002324511,0.0005645566,0.0003920704,0.00030325,0.0004134495,0.0004506542,0.0004246026,0.0008361668,0.0005749566],"category_scores_gemma":[0.0005335743,0.0002232954,0.0005666774,0.0001423822,0.0005279324,0.0002925268,0.0003167569,0.0003918389,0.0001071252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259581,"about_ca_system_score_gemma":0.0004267742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249504,"about_ca_topic_score_gemma":0.004810832,"domain_scores_codex":[0.9999182,0.00002114771,0.000003214458,0.0000142231,0.00002397744,0.00001924016],"domain_scores_gemma":[0.999785,0.0001058548,0.00002186818,0.00001162796,0.00004683368,0.00002883678],"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":[0.0001076542,0.00005436013,0.003771731,0.00002522172,0.00001033434,0.0002440442,0.00006747044,0.9826466,0.009387063,0.0008377968,0.0001600045,0.002687721],"study_design_scores_gemma":[0.000003151953,0.00001873529,0.0007793229,8.553181e-7,0.000001889085,0.000009935721,0.000008273059,0.9984676,0.0006240829,0.00005335072,0.00002985139,0.000002984622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741592,0.00006714679,0.02202455,0.00007388246,0.00002948063,0.00001891139,0.00005800627,0.0001013673,0.00346741],"genre_scores_gemma":[0.998349,0.00002029611,0.0009381257,0.000005741545,0.000004526425,0.000005784469,0.00002669574,0.000008381398,0.0006414302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249504,"threshold_uncertainty_score":0.02484465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0029605992720084,"score_gpt":0.1796141063534394,"score_spread":0.176653507081431,"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."}}