{"id":"W760053339","doi":"10.3765/bls.v38i0.3335","title":"The Representation of Contour Tones in Cantonese","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Annual Meeting of the Berkeley Linguistics Society","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio State University; University of Pennsylvania","keywords":"Tone (literature); Bantu languages; Phonology; Representation (politics); Pitch contour; Linguistics; Speech recognition; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002110404,0.0001354874,0.0002916745,0.00002702244,0.0002129559,0.00001274404,0.001012156,0.0001539438,0.00001028869],"category_scores_gemma":[0.006730038,0.00007711187,0.0002659176,0.0004750364,0.0006789434,0.00002969561,0.0004892821,0.0004006969,0.000001450625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003777913,"about_ca_system_score_gemma":0.00005252965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980145,"about_ca_topic_score_gemma":0.00005124914,"domain_scores_codex":[0.9983431,0.00007709117,0.0005770781,0.0001711931,0.0003938875,0.0004376752],"domain_scores_gemma":[0.9969072,0.000777302,0.0007259897,0.0003143855,0.001227621,0.0000474697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002572896,0.0004200461,0.8053561,0.0002462453,0.0003345207,1.284045e-7,0.1147895,0.00002197284,0.03120858,0.02787278,0.01892019,0.0005726531],"study_design_scores_gemma":[0.001381573,0.0001699734,0.8076435,0.0004947536,0.0001995008,0.00001002166,0.04949446,0.0001950064,0.1183019,0.01531278,0.006469371,0.0003271151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769424,0.0008734932,7.132332e-7,0.0006722444,0.001462686,0.0003212653,0.00003620919,0.000008800066,0.01968215],"genre_scores_gemma":[0.9980584,0.00009821539,0.0002591558,0.00004123031,0.0003792187,0.00001768553,6.079007e-7,0.0000193393,0.001126099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08709333,"threshold_uncertainty_score":0.805697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962454794667001,"score_gpt":0.343481754287988,"score_spread":0.313857206341318,"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."}}