{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996829,0.0001160206,0.00034078,0.00001099547,0.0004240564,0.00007672777,0.002615243,0.00005058358,0.00001949002],"category_scores_gemma":[0.0002412989,0.00006007423,0.00033414,0.0001606878,0.0008741806,0.000183414,0.0004203713,0.0003229327,0.000001748493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003415894,"about_ca_system_score_gemma":0.0001574675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001449746,"about_ca_topic_score_gemma":1.975278e-8,"domain_scores_codex":[0.9986175,0.0001345819,0.000394062,0.0000971321,0.0005211845,0.0002355665],"domain_scores_gemma":[0.9974434,0.0002880192,0.001302731,0.0006494714,0.0002404485,0.00007596712],"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":[0.00006088365,0.0001657419,0.0001494923,0.00005391205,0.0002031988,0.000002907658,0.001033623,0.02179815,0.9399302,0.000002832229,0.005126648,0.0314724],"study_design_scores_gemma":[0.001383404,0.0004506033,0.003488873,0.0003038693,0.0004006828,0.0001912276,0.00055829,0.3888019,0.601407,0.002472067,0.0002709693,0.0002711731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0129626,0.0003914583,0.9837833,0.002440372,0.0003129785,0.00007168831,0.000001178518,0.000005431312,0.00003100184],"genre_scores_gemma":[0.7124721,0.0002874747,0.2867963,0.00029894,0.0001214081,2.118006e-7,3.045066e-8,0.000005964473,0.00001763327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6995094,"threshold_uncertainty_score":0.4859816,"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."}}