{"id":"W2102070581","doi":"10.1109/tbme.2005.851499","title":"Recording Human Evoked Potentials That Follow the Pitch Contour of a Natural Vowel","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Queen's University; University of Toronto","funders":"","keywords":"Vowel; Pitch contour; Speech recognition; Acoustics; Fundamental frequency; Neural activity; Pitch perception; Perception; Computer science; Physics; Audiology; Biology; Neuroscience; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196047,0.000155969,0.000173826,0.0002026705,0.0002445175,0.00003777409,0.0003230708,0.0000758161,0.000116988],"category_scores_gemma":[0.00004808059,0.0001145365,0.0001546747,0.0004427893,0.0001710063,0.0002455905,0.000003026136,0.000359846,0.00002341955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005620084,"about_ca_system_score_gemma":0.00002273928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003443453,"about_ca_topic_score_gemma":0.00001187441,"domain_scores_codex":[0.9985566,0.00004058902,0.0002625383,0.0003167096,0.0005037272,0.0003197962],"domain_scores_gemma":[0.9994134,0.0001557134,0.00005890282,0.0002433484,0.00001655001,0.0001121125],"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":[0.0000107383,0.00008352631,3.948662e-7,0.000008617058,0.000003933005,0.000004346001,0.0001986158,0.002168871,0.9800289,0.00003582169,0.0001030878,0.01735319],"study_design_scores_gemma":[0.0008153896,0.0001612296,0.0005049572,0.00009091316,0.00003338864,0.00005915923,0.00006361194,0.04946296,0.9438943,0.0000253526,0.004634981,0.0002537786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650014,0.000009223786,0.2309492,0.001384556,0.002165186,0.0002237728,0.00001472325,0.0001661383,0.00008587092],"genre_scores_gemma":[0.9987653,0.00003884331,0.0001823447,0.0004319278,0.0001548065,0.00002459637,5.987715e-7,0.00001813724,0.0003834412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337639,"threshold_uncertainty_score":0.4670661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985194903838679,"score_gpt":0.2649443680929633,"score_spread":0.2350924190545765,"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."}}