{"id":"W1498555518","doi":"10.1109/icif.2003.177428","title":"Active object localization using speaker arrays","year":2003,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Object (grammar); Artificial intelligence; Speech recognition; Computer vision","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":[0.0004853679,0.0009435383,0.0008973099,0.0008134751,0.0003805702,0.001017103,0.00102936,0.001116191,0.003305296],"category_scores_gemma":[0.001485952,0.0007194408,0.0007364005,0.0008208987,0.0004828893,0.001920685,0.00129971,0.0008170783,0.002964511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442402,"about_ca_system_score_gemma":0.0002792341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006109955,"about_ca_topic_score_gemma":0.001199235,"domain_scores_codex":[0.9994389,0.000124298,0.00001609572,0.0001465119,0.0002134072,0.00006079218],"domain_scores_gemma":[0.9993004,0.0003289149,0.00005121332,0.000106374,0.0001750516,0.00003809163],"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":[0.0007835409,0.00007718855,0.001035663,0.0001450502,0.0001693286,0.0001782119,0.0003166925,0.01632106,0.483982,0.007006278,0.002360797,0.4876241],"study_design_scores_gemma":[0.00009386889,0.0003314308,0.003790632,0.00003843542,0.0002806413,0.001398698,0.0001732234,0.5763732,0.3904144,0.01283323,0.01415306,0.0001192655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01461584,0.0003300851,0.9815844,0.00007004698,0.00007580814,0.000009246161,0.0000427254,0.001136637,0.002135191],"genre_scores_gemma":[0.3513088,0.0007448383,0.6338627,0.0001986262,0.0003100878,0.00008424008,0.0004564328,0.0003869183,0.01264742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003305296,"threshold_uncertainty_score":0.01105726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226995713144834,"score_gpt":0.2576042473195604,"score_spread":0.234904676005077,"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."}}