{"id":"W2092146203","doi":"10.1121/1.1508782","title":"Microphone array measurement system for analysis of directional and spatial variations of sound fields","year":2002,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences; University of Waterloo","funders":"University of Waterloo","keywords":"Acoustics; Directivity; Sound energy; Reverberation; Loudspeaker; Sound pressure; Microphone; Anechoic chamber; Microphone array; Directional sound; Impulse response; Critical distance; Energy (signal processing); Impulse (physics); Omnidirectional antenna; Physics; Sound power; Computer science; Sound (geography); Mathematics; Antenna (radio); Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005971297,0.00006100674,0.0002818354,0.0000308479,0.0001235574,0.00001340096,0.0003900445,0.00003199513,0.000009044682],"category_scores_gemma":[0.0001364043,0.00003413364,0.0003193602,0.0004462521,0.0001836606,0.00005592359,0.00005637142,0.0001031045,9.844284e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000387757,"about_ca_system_score_gemma":0.00004041977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005413838,"about_ca_topic_score_gemma":0.000001805353,"domain_scores_codex":[0.9989594,0.00006310033,0.0003721988,0.00006312365,0.0004463292,0.00009580085],"domain_scores_gemma":[0.9984183,0.0003450273,0.0006305623,0.0001645996,0.0004072517,0.00003426574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001074103,0.0005071561,0.0008845435,0.0003440104,0.0044805,2.775892e-7,0.005730258,0.04387565,0.8901201,0.00002465361,0.00488657,0.04903884],"study_design_scores_gemma":[0.0008390307,0.0005012045,0.005371704,0.0001961989,0.003173026,0.00003909619,0.0011957,0.7511527,0.2358828,0.001360416,0.0001279945,0.0001601116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005608459,0.0003618097,0.9920784,0.001741734,0.0001159368,0.0000517768,0.000006144158,0.000003058774,0.00003263873],"genre_scores_gemma":[0.8213745,0.00005061166,0.1784159,0.00009771836,0.00005118123,5.005084e-7,5.562699e-8,0.000002084803,0.000007503424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.815766,"threshold_uncertainty_score":0.139193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502610960119501,"score_gpt":0.2399111296339247,"score_spread":0.2148850200327297,"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."}}