{"id":"W2129309805","doi":"10.1109/icosp.2006.344536","title":"A Novel Hemispherical Array Sound Source Localization","year":2006,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microphone; Microphone array; Acoustics; Acoustic source localization; Computer science; SIGNAL (programming language); Closeness; Similarity (geometry); Signal processing; Algorithm; Sound (geography); Physics; Mathematics; Computer vision; Digital signal processing; Sound pressure; Mathematical analysis","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":[0.0003314663,0.0007159259,0.0006656182,0.0006803835,0.0003034495,0.0007634992,0.001453557,0.001027955,0.005043234],"category_scores_gemma":[0.0007784868,0.0003645666,0.000455653,0.0007848929,0.0004229648,0.001336689,0.001042217,0.0004833406,0.003929102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873843,"about_ca_system_score_gemma":0.0005211654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003951493,"about_ca_topic_score_gemma":0.0006525136,"domain_scores_codex":[0.9993144,0.0001019667,0.00002517584,0.0001720132,0.0003455257,0.00004103834],"domain_scores_gemma":[0.9995887,0.00007643337,0.00004122579,0.00007961779,0.000173908,0.00004024799],"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":[0.0002988286,0.00006185534,0.0005672201,0.0002360312,0.00007799644,0.0004672825,0.0001600926,0.02318552,0.445663,0.01699799,0.005673321,0.5066109],"study_design_scores_gemma":[0.0001037144,0.000674248,0.0017254,0.00005960296,0.0001165098,0.003639832,0.0001116205,0.6043699,0.2932187,0.01053389,0.08522597,0.0002206053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002441964,0.0001260468,0.9942925,0.00006048716,0.00006385751,0.00001821107,0.00004714412,0.0008063532,0.002143457],"genre_scores_gemma":[0.05544367,0.0002869869,0.9372079,0.0002406706,0.0001262227,0.00007980846,0.0001816289,0.0001340477,0.006299029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005043234,"threshold_uncertainty_score":0.01687133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009916298501832338,"score_gpt":0.2184182974548279,"score_spread":0.2085019989529955,"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."}}