{"id":"W2127877627","doi":"10.2741/alain","title":"Selectively attending to auditory objects","year":2000,"lang":"en","type":"review","venue":"Frontiers in bioscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Medical Research Council","keywords":"Perception; Auditory scene analysis; Selective auditory attention; Set (abstract data type); Auditory perception; Computational auditory scene analysis; Object (grammar); Psychology; Parsing; Conversation; Selective attention; Auditory system; Speech perception; Focus (optics); Computer science; Cognitive psychology; Speech recognition; Communication; Artificial intelligence; Cognition; Neuroscience","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":[0.00026308,0.000522541,0.0006219465,0.001125892,0.0001873528,0.0006225564,0.0006603333,0.0007801452,0.002260411],"category_scores_gemma":[0.0004987892,0.0001255956,0.0002262779,0.0008187964,0.0003611995,0.0008901216,0.0005147343,0.0002407684,0.001803369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003756233,"about_ca_system_score_gemma":0.000334823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050679,"about_ca_topic_score_gemma":0.001255282,"domain_scores_codex":[0.9998251,0.00002471777,0.00001384105,0.00006051084,0.00005645666,0.00001942038],"domain_scores_gemma":[0.9998767,0.00004620938,0.00002501852,0.000005926126,0.00003651961,0.000009596421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006378329,0.00001871568,0.0007360516,0.005010862,0.00004844987,0.000564968,0.0002590133,0.0002066484,0.02833053,0.002555256,0.004567923,0.9576378],"study_design_scores_gemma":[0.00005224274,0.0005591969,0.03805768,0.003132059,0.0003392927,0.01997314,0.000670086,0.0005685427,0.03095421,0.01367741,0.8919498,0.00006636047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01113886,0.9657801,0.004969606,0.0004966052,0.0003162644,0.00003146242,0.00004913827,0.00008618667,0.01713175],"genre_scores_gemma":[0.05060577,0.9346824,0.002943038,0.0007033441,0.000428979,0.0000646068,0.0000975487,0.00001304069,0.01046135],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002260411,"threshold_uncertainty_score":0.007561862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05966679993890083,"score_gpt":0.3323258902186932,"score_spread":0.2726590902797923,"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."}}