{"id":"W2151115786","doi":"10.1109/jsen.2002.807773","title":"Design of a MEMS acoustical beamforming sensor microarray","year":2002,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Beamwidth; Beamforming; Microelectromechanical systems; Sensor array; Computer science; Electronic engineering; Engineering; Acoustics; Sensitivity (control systems); Electrical engineering; Antenna (radio); Materials science; Physics; Optoelectronics","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":[0.0004666669,0.0001602182,0.000243489,0.0001834335,0.0002346243,0.000211104,0.000552834,0.00008228177,0.00009161592],"category_scores_gemma":[0.0001070036,0.0001336871,0.0001034289,0.000320426,0.00007771501,0.0004857387,0.00003524689,0.0003794287,0.00006878853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004514396,"about_ca_system_score_gemma":0.00004896416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001142959,"about_ca_topic_score_gemma":1.121885e-7,"domain_scores_codex":[0.9984003,0.00008057639,0.0004165188,0.0002231253,0.0004234364,0.0004560763],"domain_scores_gemma":[0.9989645,0.0001546658,0.0002453182,0.0002458495,0.0001748139,0.0002148147],"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":[0.00001151395,0.00008504232,0.00005261717,0.00001706155,0.00003616165,0.0002698832,0.001231818,0.01256981,0.9415221,0.000009027573,0.003452219,0.04074277],"study_design_scores_gemma":[0.0005389717,0.0001459735,0.0000233811,0.00009887447,0.00001910368,0.004727277,0.00009852259,0.1143107,0.8786816,0.0004819942,0.0006214626,0.000252108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1003888,0.0002531102,0.8976282,0.0004581338,0.0006180186,0.0000602108,6.28097e-7,0.00005401587,0.0005388095],"genre_scores_gemma":[0.4580092,0.00008771253,0.54075,0.0002160259,0.0003857244,6.718736e-7,5.424944e-8,0.00001583559,0.0005347758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3576204,"threshold_uncertainty_score":0.5451601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610753214665892,"score_gpt":0.2477124409353905,"score_spread":0.2116049087887316,"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."}}