{"id":"W2052837339","doi":"10.1260/0309-524x.37.6.637","title":"The Application of a MEMS Microphone Phased Array to Aeroacoustics of Small Wind Turbines","year":2013,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustics; Aeroacoustics; Microphone array; Beamforming; Anechoic chamber; Wind tunnel; Azimuth; Turbine; Microphone; Noise (video); Rotor (electric); Wind power; Acoustic source localization; Marine engineering; Aerospace engineering; Sound pressure; Physics; Engineering; Computer science; Electrical engineering; Optics; Electronic engineering; Sound (geography)","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":[0.0002555538,0.0003021669,0.0002142678,0.0002295196,0.0001273807,0.0002065426,0.0002433718,0.000298594,0.0006763706],"category_scores_gemma":[0.001001157,0.0002105485,0.0001590474,0.0001742448,0.0002129706,0.0002831257,0.0002225538,0.0001674034,0.0002684411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419554,"about_ca_system_score_gemma":0.0002103525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002677783,"about_ca_topic_score_gemma":0.0005684042,"domain_scores_codex":[0.9997913,0.00004047303,0.00001041187,0.00003495461,0.0001116651,0.00001126007],"domain_scores_gemma":[0.999597,0.0002216943,0.00002889596,0.00003526218,0.0001020335,0.00001522106],"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":[0.00005708306,0.00002114893,0.0008572334,0.0001326998,0.000008933866,0.0001689063,0.00004559847,0.006748874,0.8969438,0.0009470826,0.0002408697,0.09382774],"study_design_scores_gemma":[0.00004665791,0.001068555,0.008420898,0.00003048599,0.00004379583,0.001618829,0.00007877568,0.1419354,0.8282079,0.001633147,0.01685182,0.0000636617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1738413,0.001278806,0.8192161,0.0002229044,0.0002537456,0.000168996,0.000108232,0.000667116,0.004242838],"genre_scores_gemma":[0.5407075,0.001074387,0.4558968,0.0001009289,0.0001038367,0.0001334848,0.00007070983,0.00003373395,0.001878642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006763706,"threshold_uncertainty_score":0.002262652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004726363152313517,"score_gpt":0.1785559462708924,"score_spread":0.1738295831185789,"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."}}