{"id":"W2993166778","doi":"","title":"Source localization of aircraft engines with circular microphone arrays","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jet engine; Anechoic chamber; Beamforming; Microphone; Microphone array; Acoustics; Noise (video); Turbofan; Jet noise; Aircraft noise; Engineering; Computer science; Aerospace engineering; Jet (fluid); Electronic engineering; Noise reduction; Artificial intelligence; Loudspeaker; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004678284,0.0004412136,0.0003624669,0.0005358533,0.0001327327,0.0003185491,0.0003316171,0.0005462893,0.0007801403],"category_scores_gemma":[0.001430807,0.0002825535,0.0002035958,0.0003715947,0.0002721671,0.0005733384,0.0004791945,0.0002047533,0.0006283632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584549,"about_ca_system_score_gemma":0.0002066286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006498924,"about_ca_topic_score_gemma":0.0008979723,"domain_scores_codex":[0.9995976,0.0001277943,0.00001331581,0.00009693846,0.0001365112,0.00002781301],"domain_scores_gemma":[0.9995061,0.0002211132,0.00005739132,0.00004105979,0.0001556226,0.00001862875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009886608,0.00009323422,0.003466628,0.0002631903,0.00007080888,0.0003385566,0.0004476145,0.04819804,0.6470482,0.002724995,0.001190441,0.2951696],"study_design_scores_gemma":[0.0001009926,0.0004734263,0.01245304,0.00004907552,0.00006500929,0.00112559,0.000192154,0.6907176,0.2864782,0.002188793,0.006045296,0.0001107494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1372171,0.0006622428,0.858433,0.0001189115,0.00006626386,0.00004222662,0.00009821784,0.0007513912,0.002610585],"genre_scores_gemma":[0.651639,0.0005144709,0.3440047,0.000101198,0.00007081755,0.00006686767,0.0001983101,0.00006094145,0.003343738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007801403,"threshold_uncertainty_score":0.002609789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006961639473745194,"score_gpt":0.1542929894701826,"score_spread":0.1473313499964374,"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."}}