{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004876525,0.0005379749,0.001100377,0.00153604,0.0003840157,0.0002036067,0.001813569,0.0002533114,0.00005725479],"category_scores_gemma":[0.0007213513,0.000474823,0.0002464094,0.005216138,0.0005248194,0.0005851049,0.0002274783,0.000634358,0.0004652073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006372608,"about_ca_system_score_gemma":0.0006024211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001098876,"about_ca_topic_score_gemma":0.000004959525,"domain_scores_codex":[0.9951252,0.0003495938,0.0005822617,0.00206373,0.0007979527,0.001081308],"domain_scores_gemma":[0.9987276,0.0001253335,0.000221183,0.0006005649,0.00001767622,0.000307697],"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":[0.00000525002,0.0000646074,0.00000654935,0.0004432455,8.782138e-7,0.00006858552,0.0002524825,0.000007153708,0.002473775,0.00001571935,0.01961204,0.9770497],"study_design_scores_gemma":[0.00007083111,0.00009117707,0.00005890858,0.002288299,0.00002280955,0.00006557991,0.00003093086,0.00005008911,0.0001541516,0.00006284256,0.9965209,0.0005835073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007550607,0.9394402,0.002435206,0.0001555228,0.03522542,0.004544648,0.000163782,0.0005620648,0.01671814],"genre_scores_gemma":[0.0004346502,0.9946251,0.001118236,0.001243758,0.0003635752,0.0001610511,0.000002054065,0.00004690082,0.002004688],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9769089,"threshold_uncertainty_score":0.9997703,"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."}}