{"id":"W1525156309","doi":"10.1109/ific.2000.859879","title":"Integrated vision and sound localization","year":2000,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Sound localization; Modal; Orientation (vector space); Noise (video); Object (grammar); Acoustic source localization; Machine vision; Sound (geography); Acoustics; Image (mathematics); Mathematics","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":[0.0003612557,0.0006797289,0.0005617319,0.0006531688,0.0002063835,0.0009726667,0.0009711421,0.0008412248,0.004382318],"category_scores_gemma":[0.001212481,0.0003920397,0.0003802313,0.000339505,0.0004690762,0.001401768,0.001405931,0.0006501637,0.001656011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039408,"about_ca_system_score_gemma":0.0005473478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421009,"about_ca_topic_score_gemma":0.001888274,"domain_scores_codex":[0.9992472,0.000071568,0.00002473173,0.0001777686,0.0003746753,0.000104066],"domain_scores_gemma":[0.9995166,0.0001331329,0.00003171678,0.00005472721,0.0002212769,0.0000425463],"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":[0.00049195,0.000196681,0.001256232,0.0003691101,0.0001129637,0.0003906355,0.0001363674,0.01651797,0.408681,0.008710265,0.002536561,0.5606003],"study_design_scores_gemma":[0.000226109,0.002540548,0.006829199,0.0001316534,0.0004275951,0.003634221,0.0001858464,0.4697962,0.4500415,0.0148226,0.05117469,0.0001898708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02534864,0.0007038827,0.9632069,0.0001583411,0.0001693312,0.00004777131,0.00003537942,0.002976304,0.007353442],"genre_scores_gemma":[0.6688486,0.0007326788,0.3188956,0.0003921593,0.0001521882,0.00009220951,0.0001647714,0.0001509653,0.01057074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004382318,"threshold_uncertainty_score":0.0146603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008931693519637827,"score_gpt":0.2422605327356536,"score_spread":0.2333288392160157,"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."}}