{"id":"W2317722467","doi":"10.2514/6.2014-3187","title":"Active noise control simulation of tonal turbofan noise in aero engines","year":2014,"lang":"en","type":"article","venue":"","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Deutsches Zentrum für Luft- und Raumfahrt; Compute Canada; National Aeronautics and Space Administration","keywords":"Turbofan; Noise (video); Active noise control; Computer science; Noise measurement; Noise control; Acoustics; Engineering; Automotive engineering; Noise reduction; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002193808,0.0004574075,0.0004344803,0.0003117081,0.0003326534,0.0005662708,0.0005720049,0.0008116923,0.001911597],"category_scores_gemma":[0.0005437492,0.0001351618,0.0004109782,0.0001809006,0.0005554069,0.0002226563,0.0003937328,0.0004327507,0.0001219348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379676,"about_ca_system_score_gemma":0.0003447896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00832519,"about_ca_topic_score_gemma":0.003620352,"domain_scores_codex":[0.9998919,0.00002442468,0.000005983471,0.00001471906,0.00003650728,0.00002655905],"domain_scores_gemma":[0.9996271,0.00021895,0.00003686752,0.00001497783,0.00007135977,0.00003076078],"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":[0.00007481255,0.0000536011,0.001130738,0.00003635909,0.000009943501,0.0001013998,0.00005991406,0.9914042,0.003942349,0.0009126899,0.0001196029,0.002154418],"study_design_scores_gemma":[0.000004248057,0.0000256907,0.0002081917,0.00000239351,0.000002079216,0.000004455145,0.00001487852,0.9987224,0.0008158375,0.0001078703,0.00008971171,0.000002292326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316659,0.0001941332,0.05481245,0.0001512446,0.00006896388,0.00005059382,0.0001691636,0.0003054147,0.01258208],"genre_scores_gemma":[0.9959804,0.00004225458,0.002528116,0.00001472346,0.000003670188,0.00002901457,0.00005773187,0.00001346358,0.001330663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00832519,"threshold_uncertainty_score":0.01655346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004255897954336095,"score_gpt":0.2053005360424845,"score_spread":0.2010446380881485,"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."}}