{"id":"W2329441757","doi":"10.2514/6.2015-2984","title":"A 3D analytical approach for Open rotor Blade Vortex Interaction(BVI) tonal noise","year":2015,"lang":"en","type":"article","venue":"","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada); Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Compute Canada; Université de Sherbrooke","keywords":"Blade (archaeology); Rotor (electric); Noise (video); Vortex; Acoustics; Physics; Aerospace engineering; Computer science; Engineering; Mechanical engineering; Mechanics; Artificial intelligence","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":[0.0002404617,0.0007520213,0.0006810955,0.001035965,0.0008138919,0.001939185,0.001613185,0.001695455,0.005837866],"category_scores_gemma":[0.0008561853,0.000672141,0.001151151,0.0005561082,0.0007930751,0.0008784621,0.00141489,0.001017047,0.001794108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889642,"about_ca_system_score_gemma":0.001056294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00547837,"about_ca_topic_score_gemma":0.005366184,"domain_scores_codex":[0.9997403,0.00003992552,0.00001121638,0.00002802027,0.0001469673,0.00003363772],"domain_scores_gemma":[0.9997569,0.00005923148,0.00002352742,0.00002451799,0.0001120635,0.00002381289],"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":[0.00003964893,0.0001282094,0.0007210168,0.0001067002,0.00004235501,0.0004909993,0.0002221965,0.8660074,0.01352658,0.08085947,0.003244156,0.03461119],"study_design_scores_gemma":[0.000002440123,0.000005157289,0.0000589179,0.000005943515,0.000002555869,0.00004049124,0.00001830669,0.9944754,0.0002890688,0.00295785,0.002135261,0.000008697338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01181098,0.0004385173,0.9541117,0.0002512991,0.0003203588,0.00009311593,0.0001734195,0.0005135805,0.03228704],"genre_scores_gemma":[0.5795797,0.001904187,0.372631,0.0005692105,0.0005884172,0.0005061335,0.0004874755,0.0009520953,0.04278179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005837866,"threshold_uncertainty_score":0.01952958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508904120958594,"score_gpt":0.2952568537895172,"score_spread":0.2501678125799312,"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."}}