{"id":"W1988379474","doi":"10.1121/1.4788467","title":"Multi-variate error analysis of beam-forming acoustic measurements in a wind-tunnel","year":2005,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Beamforming; Acoustics; Microphone; Microphone array; Wind tunnel; Noise (video); Computer science; Telecommunications; Engineering; Physics; Aerospace engineering; Loudspeaker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004472193,0.000767412,0.0005893419,0.001326087,0.0002926591,0.0004949539,0.0005595291,0.0009671919,0.0005891765],"category_scores_gemma":[0.01277955,0.0003764568,0.0004517303,0.00106208,0.0005015977,0.0006899567,0.0005842906,0.0006513107,0.0001688259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032245,"about_ca_system_score_gemma":0.00048451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004854385,"about_ca_topic_score_gemma":0.003955195,"domain_scores_codex":[0.9975666,0.0006930013,0.0001778585,0.0002729304,0.001158827,0.0001307291],"domain_scores_gemma":[0.9880972,0.007401401,0.001101026,0.0006428477,0.002581694,0.0001758727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003168777,0.0005587372,0.06632607,0.0005538361,0.0004573248,0.0007265992,0.0008716147,0.6451618,0.1091383,0.003384491,0.0009058171,0.1687465],"study_design_scores_gemma":[0.00003874597,0.0004871952,0.05121398,0.0000376217,0.00004929939,0.0003206924,0.0001118113,0.9020265,0.04452284,0.0006145395,0.000474097,0.0001027525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.624215,0.000228103,0.3738652,0.00008027056,0.00005768448,0.00006195704,0.0003560241,0.0004476548,0.0006881045],"genre_scores_gemma":[0.938692,0.0001129478,0.05998695,0.0000253908,0.00001521299,0.00005992452,0.000375807,0.00008841418,0.0006433321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004854385,"threshold_uncertainty_score":0.02365154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657819428845029,"score_gpt":0.2869720076366208,"score_spread":0.2503938133481705,"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."}}