{"id":"W2600579021","doi":"10.1109/taslp.2017.2689681","title":"On the Design of Frequency-Invariant Beampatterns With Uniform Circular Microphone Arrays","year":2017,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Audio Speech and Language Processing","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"China Scholarship Council","keywords":"Directivity; Microphone; Superposition principle; Acoustics; White noise; Invariant (physics); Loudspeaker; Harmonics; Computer science; Mathematics; Control theory (sociology); Physics; Mathematical analysis; Telecommunications; Artificial intelligence","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":[0.0007932286,0.0007047434,0.0003800113,0.000322538,0.0001514378,0.0004921549,0.0004799346,0.0004605613,0.00161264],"category_scores_gemma":[0.00273746,0.0004157448,0.000352647,0.0005013788,0.0006288116,0.0006879481,0.000626842,0.0004136571,0.0007030449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002489082,"about_ca_system_score_gemma":0.0003612137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003682676,"about_ca_topic_score_gemma":0.0005184655,"domain_scores_codex":[0.9993699,0.0002166565,0.00003685245,0.0001163494,0.0002196757,0.00004059789],"domain_scores_gemma":[0.9991854,0.0004201062,0.0000882966,0.00009503852,0.0001830562,0.00002807124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002769877,0.00007138492,0.0008562209,0.0004708494,0.00007674898,0.0002018452,0.0002977346,0.2855172,0.1917083,0.0726027,0.002508776,0.4454112],"study_design_scores_gemma":[0.00004130724,0.0002328905,0.0005426517,0.00004321912,0.00003375717,0.0003926655,0.00005842859,0.915196,0.05576973,0.01627586,0.01136989,0.00004348061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001696493,0.00007100864,0.9973007,0.00002029198,0.000007956904,0.000008826063,0.000007809807,0.00004882815,0.0008381194],"genre_scores_gemma":[0.1076663,0.00075411,0.8885213,0.0001341651,0.00007614396,0.0001100978,0.00008423893,0.00009699883,0.002556682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00161264,"threshold_uncertainty_score":0.005394816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053196319033007,"score_gpt":0.2443639679900176,"score_spread":0.2238320047996875,"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."}}