{"id":"W3169069430","doi":"10.3389/fnhum.2021.607148","title":"Neurophysiological Correlates of Asymmetries in Vowel Perception: An English-French Cross-Linguistic Event-Related Potential Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Centre for Research on Brain Language and Music","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Mismatch negativity; Vowel; Psychology; Perception; Stimulus (psychology); Neurophysiology; Speech perception; Cognitive psychology; Event-related potential; Electroencephalography; Linguistics; Audiology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004177192,0.0002227765,0.0001563454,0.0003750823,0.0001950674,0.0003589598,0.0001501967,0.0003544808,0.0010548],"category_scores_gemma":[0.001537003,0.00009717951,0.0001301219,0.0001551632,0.0003462926,0.0002273941,0.0003581113,0.0002184711,0.0001246297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016643,"about_ca_system_score_gemma":0.0001581926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006982071,"about_ca_topic_score_gemma":0.009117233,"domain_scores_codex":[0.9998332,0.00003680538,0.00001326707,0.00004950467,0.0000356338,0.00003152434],"domain_scores_gemma":[0.9993693,0.0002427019,0.0001361056,0.00005392868,0.0001268302,0.00007109564],"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":[0.002220229,0.0003727883,0.3070128,0.0001932328,0.0001889637,0.003016319,0.002705247,0.0003795277,0.633697,0.0005415742,0.0002272438,0.04944511],"study_design_scores_gemma":[0.000009590429,0.0002277175,0.9947342,0.000003205879,0.00001778792,0.0009339213,0.0002461523,0.0002225746,0.003300578,0.0000458496,0.0002518385,0.00000657673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989053,0.0001610434,0.0003862212,0.000020915,0.000002231652,0.000007578495,0.00005648601,0.000004591043,0.0004555906],"genre_scores_gemma":[0.9993476,0.00006047745,0.0003196716,0.00002931015,0.000003925759,0.000008863176,0.00005731495,0.00000284731,0.000170049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006982071,"threshold_uncertainty_score":0.01388282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274402031359613,"score_gpt":0.3099385923382266,"score_spread":0.2824983892022653,"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."}}