{"id":"W4300247867","doi":"","title":"Optimization of tonal noise control with flow obstruction","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Noise (video); Computer science; Flow (mathematics); Acoustics; Flow control (data); Control (management); Control theory (sociology); Speech recognition; Physics; Telecommunications; Artificial intelligence; Mechanics","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":[0.0005681964,0.001273658,0.001197191,0.000418403,0.00037418,0.00117739,0.0004585712,0.001107829,0.002957135],"category_scores_gemma":[0.002374156,0.0004010079,0.0004425943,0.0002965706,0.0008924663,0.0005533501,0.0009875948,0.00054243,0.0002619137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987512,"about_ca_system_score_gemma":0.0007600116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002927012,"about_ca_topic_score_gemma":0.001544998,"domain_scores_codex":[0.9996302,0.0001155567,0.00001199781,0.000076669,0.00006955095,0.00009587291],"domain_scores_gemma":[0.9992651,0.0004324747,0.00007553803,0.00002696224,0.0001361491,0.00006374696],"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":[0.0003834405,0.00008427144,0.0002645491,0.0001200926,0.00003140572,0.0000635623,0.0000413878,0.9682413,0.01025023,0.003197296,0.0005645215,0.01675805],"study_design_scores_gemma":[0.00001576188,0.00007307157,0.0001288437,0.000003588934,0.000007917766,0.00000671043,0.000006995359,0.9983959,0.0007196968,0.0004810124,0.0001554042,0.000005135751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1696611,0.0004650239,0.8084266,0.0004427681,0.0002159112,0.0001012419,0.00008152473,0.0003901619,0.02021561],"genre_scores_gemma":[0.9816,0.000101791,0.01522446,0.00004893592,0.00005409196,0.00004821364,0.00002698666,0.00005913228,0.002836481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002957135,"threshold_uncertainty_score":0.009892583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005024536093291575,"score_gpt":0.1833350212946094,"score_spread":0.1783104852013178,"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."}}