{"id":"W2094543791","doi":"10.1121/1.2934516","title":"Trailing edge noise computation of a fan blade profile","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Trailing edge; Airfoil; Acoustics; Noise (video); Chord (peer-to-peer); Computation; Microphone; Sound pressure; Leading edge; Reynolds number; Aeroacoustics; Physics; Computer science; Aerospace engineering; Engineering; Mechanics; Turbulence; Algorithm","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":[0.0002087927,0.0005075014,0.000324698,0.0003388202,0.000252638,0.0004215663,0.00030951,0.0005397533,0.0006579762],"category_scores_gemma":[0.0009724786,0.0001598755,0.0002530017,0.0001388429,0.0003019952,0.0003637664,0.0002283753,0.000292359,0.0001416052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003483652,"about_ca_system_score_gemma":0.0004142241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004703557,"about_ca_topic_score_gemma":0.002554079,"domain_scores_codex":[0.999918,0.00001722654,0.000002736893,0.00001329203,0.00003550685,0.00001322133],"domain_scores_gemma":[0.9997205,0.0001366915,0.00002385234,0.0000127773,0.00007655303,0.00002969828],"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":[0.0004129891,0.00006323929,0.00475694,0.00007420391,0.00002107121,0.0004310879,0.0001093095,0.9057921,0.04712586,0.006681958,0.0004897249,0.03404159],"study_design_scores_gemma":[0.000004894559,0.00001279623,0.0002371357,0.000001363584,9.384888e-7,0.00001622576,0.000004963342,0.9974789,0.001895861,0.0002493646,0.00009554423,0.000002085403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5012974,0.000174718,0.4928791,0.0001156644,0.00006370979,0.00004096314,0.00007323427,0.0005876326,0.004767656],"genre_scores_gemma":[0.9638885,0.00005793385,0.03311024,0.00001696791,0.00001874921,0.0000139509,0.00007108568,0.00005965317,0.002762976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004703557,"threshold_uncertainty_score":0.009352326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089140788662098,"score_gpt":0.2229548371558061,"score_spread":0.2120634292691851,"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."}}