{"id":"W2043422343","doi":"10.1121/1.4709126","title":"The perceptual normalization of lexical tones: effects of surrounding tonal context","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Normalization (sociology); Sentence; Tone (literature); Perception; Categorization; Speech recognition; Context (archaeology); Acoustics; Computer science; Mathematics; Linguistics; Psychology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006294342,0.000355655,0.0004109402,0.0002489549,0.0002776379,0.0006860786,0.0002697629,0.000220214,0.001857979],"category_scores_gemma":[0.008796404,0.0003362947,0.0002043266,0.0001419707,0.0004374772,0.0006313223,0.0006631277,0.0004992235,0.0002195603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138282,"about_ca_system_score_gemma":0.0002656036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009289635,"about_ca_topic_score_gemma":0.001356222,"domain_scores_codex":[0.9995053,0.0001274531,0.00004084484,0.0001491694,0.0001361297,0.00004098816],"domain_scores_gemma":[0.9956934,0.002747579,0.0004876917,0.0003622229,0.0003215878,0.0003875322],"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":[0.002469203,0.0001507864,0.006340441,0.0001268278,0.00003479713,0.0001513223,0.0004293055,0.0003636093,0.972285,0.0001272383,0.00004269565,0.01747864],"study_design_scores_gemma":[0.0001658448,0.004242751,0.8082779,0.00004836095,0.0001809271,0.001007755,0.0003733201,0.005179978,0.1788581,0.0007504108,0.0008443284,0.00007032143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962236,0.0001482617,0.001725562,0.00001553022,0.00001386076,0.00002405959,0.00002461404,0.00003416725,0.001790419],"genre_scores_gemma":[0.9972721,0.0001036512,0.002133925,0.00003307355,0.00001113654,0.00002253644,0.00004515508,0.00004636436,0.0003320172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001857979,"threshold_uncertainty_score":0.006215513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423913228454087,"score_gpt":0.3309072783575464,"score_spread":0.3066681460730055,"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."}}