{"id":"W2122383551","doi":"10.1111/j.1749-6632.2009.04770.x","title":"Integrated Preattentive Processing of Vowel and Pitch","year":2009,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Mismatch negativity; Vowel; Audiology; Psychology; Event-related potential; Speech recognition; Electroencephalography; Acoustics; Computer science; Neuroscience; Physics; Medicine","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":[0.0003428473,0.000194693,0.0001832023,0.0002911029,0.0001240003,0.0004197051,0.000176311,0.0001912972,0.001999725],"category_scores_gemma":[0.003411824,0.0001662888,0.0001191728,0.00009411295,0.0002329037,0.0005423713,0.0006140601,0.0002979971,0.0002441264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418731,"about_ca_system_score_gemma":0.0001426826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003217361,"about_ca_topic_score_gemma":0.0005160307,"domain_scores_codex":[0.9997293,0.00003308909,0.00001837016,0.00006399841,0.0001267129,0.0000285372],"domain_scores_gemma":[0.9990447,0.0004783,0.000171728,0.00009222906,0.0001449383,0.00006809111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007087732,0.0001101043,0.03551645,0.00009179439,0.00004352532,0.0003118877,0.0005810338,0.0002331593,0.9042662,0.0006952854,0.00008718313,0.05735461],"study_design_scores_gemma":[0.00003610391,0.0006966107,0.8694429,0.00002828461,0.00007518403,0.002193352,0.0003992282,0.003293914,0.1200696,0.002033912,0.001704376,0.0000264879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947854,0.0001201639,0.002774582,0.000028227,0.000008358525,0.000008746094,0.00002110837,0.00001942468,0.002234118],"genre_scores_gemma":[0.9978176,0.00007956045,0.001193867,0.00002792086,0.00001328899,0.00001043023,0.0000635266,0.00001383192,0.0007798267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001999725,"threshold_uncertainty_score":0.006689787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452188531431994,"score_gpt":0.3641274294483577,"score_spread":0.2189085763051583,"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."}}