{"id":"W2011895914","doi":"10.1121/1.4787967","title":"Acoustic source localization with eye array","year":2006,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","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; Computer science; SIGNAL (programming language); Noise-canceling microphone; Shell (structure); Physics; Loudspeaker; Materials science","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":[0.0003355323,0.0005903156,0.0006928952,0.0005293589,0.0002555049,0.0008318567,0.0008553993,0.0007636186,0.00336192],"category_scores_gemma":[0.001188495,0.0003831551,0.0004417542,0.0005894076,0.000305704,0.00151173,0.001653615,0.0006869353,0.002112627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450051,"about_ca_system_score_gemma":0.0004316545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000659488,"about_ca_topic_score_gemma":0.0008984075,"domain_scores_codex":[0.999518,0.0000836635,0.0000222847,0.0001120844,0.0002253295,0.0000385785],"domain_scores_gemma":[0.9995798,0.000120707,0.00004752032,0.00006156646,0.0001613836,0.00002897115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005347008,0.00006337027,0.00127248,0.0002133937,0.00009282379,0.000205141,0.0002534567,0.03403663,0.3051363,0.02014467,0.004318689,0.6337283],"study_design_scores_gemma":[0.0001086381,0.0003432655,0.0009998456,0.00004247469,0.00006876771,0.001048619,0.00009711878,0.7538941,0.1954847,0.007531272,0.04026931,0.0001120151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003652313,0.00009362859,0.9942032,0.00004463872,0.00002669491,0.00001026006,0.00002722207,0.0008712371,0.001070814],"genre_scores_gemma":[0.07461692,0.0002086705,0.9197309,0.00009657963,0.00004361321,0.00007286118,0.0001417722,0.0001314772,0.004957177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00336192,"threshold_uncertainty_score":0.01124674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005501859961725224,"score_gpt":0.2162724148728377,"score_spread":0.2107705549111124,"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."}}