{"id":"W1992017220","doi":"10.1037//0096-1523.27.1.65","title":"Location and frequency cues in auditory selective attention.","year":2001,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Salience (neuroscience); Selective auditory attention; Conjunction (astronomy); Interstimulus interval; Auditory perception; Selective attention; Tone (literature); Psychology; Octave (electronics); Auditory scene analysis; Speech recognition; Perception; Computer science; Cognitive psychology; Acoustics; Cognition; Neuroscience; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003208488,0.0001553401,0.0001977129,0.0003577583,0.0002523586,0.00004253253,0.0001722197,0.0001170304,0.0005289124],"category_scores_gemma":[0.000024926,0.0001469318,0.00004895582,0.0002943883,0.0002113129,0.0008862182,0.00002191259,0.0003531493,0.00008145499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523126,"about_ca_system_score_gemma":0.00002525249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004456972,"about_ca_topic_score_gemma":0.000004918852,"domain_scores_codex":[0.9986196,0.0001475239,0.0004977349,0.0002821491,0.0002416124,0.0002113914],"domain_scores_gemma":[0.9993925,0.00001592923,0.0003012225,0.000113651,0.00009174516,0.00008497062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001135243,0.0003040067,0.009921415,0.00001053111,0.000002392675,0.000009582312,0.001786518,0.000008408558,0.9856916,0.0001099693,0.0003478733,0.001694153],"study_design_scores_gemma":[0.002580289,0.002378115,0.9405884,0.0002141316,0.00001076452,0.001546763,0.00194604,0.0003641521,0.04876661,0.0009306766,0.0003216495,0.000352464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963161,0.0001511797,0.0003834088,0.0001705415,0.0005916698,0.0001034449,3.855108e-7,0.00002403874,0.002259176],"genre_scores_gemma":[0.9976252,0.0004497565,0.0002814926,0.001026516,0.0003317193,0.00000961538,0.0000012906,0.00001576431,0.0002586834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.936925,"threshold_uncertainty_score":0.5991705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031681978754972,"score_gpt":0.3900973436814797,"score_spread":0.32978052389393,"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."}}