{"id":"W2616414642","doi":"10.1121/1.4983122","title":"Design of robust concentric circular differential microphone arrays","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"National Institutes of Health; Wellcome Trust; Wellcome","keywords":"Directivity; Microphone array; Aperture (computer memory); Acoustics; Microphone; Computer science; White noise; Differential (mechanical device); Aliasing; Filter (signal processing); Beamwidth; Bessel function; Mathematics; Physics; Optics; Loudspeaker; Telecommunications; Antenna (radio)","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":[0.0005234745,0.0008885094,0.0007286581,0.0003581453,0.0002045937,0.00056632,0.001253737,0.0008411735,0.001174673],"category_scores_gemma":[0.001645686,0.0004946257,0.0004266717,0.0002970806,0.0003762089,0.0005338305,0.0007808045,0.0003380761,0.0007960469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665499,"about_ca_system_score_gemma":0.0004217725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003905424,"about_ca_topic_score_gemma":0.0004660617,"domain_scores_codex":[0.9992496,0.0001796878,0.00004633149,0.000188688,0.0002724227,0.00006316761],"domain_scores_gemma":[0.9991918,0.0001826075,0.0001842747,0.00006995573,0.0003270635,0.00004429456],"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":[0.0005182144,0.00008575534,0.001480683,0.0007287688,0.0001711715,0.0004809281,0.0002243817,0.2890977,0.4124102,0.02606736,0.002732666,0.2660022],"study_design_scores_gemma":[0.00004739666,0.0004219498,0.0006889393,0.00003292138,0.00006062535,0.000540962,0.00005214309,0.8951897,0.09012067,0.002598432,0.0101885,0.00005772309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01093618,0.0003381676,0.985673,0.00004935379,0.00005533407,0.00004457157,0.00003942565,0.0002547939,0.00260917],"genre_scores_gemma":[0.3981467,0.000524356,0.5979869,0.0001228399,0.00007823607,0.0001867719,0.0001025129,0.00005209603,0.002799622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001253737,"threshold_uncertainty_score":0.003929615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284658209220269,"score_gpt":0.2418220290616474,"score_spread":0.2189754469694447,"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."}}