{"id":"W2027730787","doi":"10.1121/1.3557055","title":"Beamforming for directional sources: Additional estimator and evaluation of performance under different acoustic scenarios","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Estimator; Acoustics; Computer science; Environmental science; Mathematics; Statistics; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248538,0.001296112,0.0008582788,0.0008392535,0.000189809,0.0006477501,0.0006241186,0.001536433,0.001171593],"category_scores_gemma":[0.01006589,0.0003002148,0.0005920929,0.0006083269,0.0003559505,0.0011327,0.0009051326,0.0004640524,0.0004910151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209769,"about_ca_system_score_gemma":0.0003443451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010397,"about_ca_topic_score_gemma":0.001128426,"domain_scores_codex":[0.9985246,0.0006080458,0.0001041598,0.0002039345,0.0004456464,0.0001136656],"domain_scores_gemma":[0.9944164,0.00351319,0.0003674212,0.0004734828,0.001136563,0.00009306543],"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":[0.002564447,0.0004464385,0.008861408,0.0006999259,0.0004321376,0.0002273423,0.0001592832,0.464661,0.1151719,0.004710023,0.001045886,0.4010203],"study_design_scores_gemma":[0.0001042639,0.001007581,0.00431131,0.00003773562,0.0001202112,0.0004228388,0.00005015799,0.9248363,0.06718715,0.0009190044,0.0009147639,0.00008863639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234151,0.0006542693,0.8727278,0.0001320503,0.00006341985,0.00010298,0.0001255113,0.0008653838,0.001913512],"genre_scores_gemma":[0.6195909,0.0006690436,0.3773294,0.00008699848,0.00005864412,0.0001580296,0.0005243304,0.0001133988,0.001469179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003248538,"threshold_uncertainty_score":0.01718014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531522588976613,"score_gpt":0.2620444979819157,"score_spread":0.2267292720921496,"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."}}