{"id":"W4312814014","doi":"10.1121/10.0015547","title":"Modeling retroflex fricative variation in accented mandarin","year":2022,"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":"","funders":"","keywords":"Mandarin Chinese; Realization (probability); Vowel; Mathematics; Tone (literature); Variation (astronomy); Formant; Linguistics; Speech recognition; Acoustics; Computer science; Statistics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006590648,0.0005037923,0.0004106892,0.0007918718,0.0003631773,0.0005128999,0.000479001,0.0004116987,0.0009311461],"category_scores_gemma":[0.001027399,0.0003053239,0.0006830306,0.0005192967,0.0002549447,0.0003447146,0.0004128943,0.0003052395,0.0003361935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003706879,"about_ca_system_score_gemma":0.0005441144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990536,"about_ca_topic_score_gemma":0.0256593,"domain_scores_codex":[0.999814,0.00004512453,0.000008520937,0.00008308564,0.00002264609,0.00002678361],"domain_scores_gemma":[0.9997231,0.0001842476,0.00002177942,0.00002201669,0.00003557731,0.00001316002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001650349,0.0005124877,0.1179962,0.0005690603,0.0007036728,0.001575353,0.003097253,0.4314426,0.2133695,0.005062899,0.002394283,0.2216263],"study_design_scores_gemma":[0.00002978941,0.000143633,0.1092127,0.00002038906,0.000151152,0.0001890341,0.0003135233,0.8789477,0.008267258,0.0009110729,0.001750972,0.00006273287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689568,0.0003050835,0.02902999,0.00004022805,0.00001880238,0.00002618653,0.0003558731,0.000222721,0.001044279],"genre_scores_gemma":[0.9849108,0.0001366575,0.01322103,0.00001577822,0.00001251717,0.00005176165,0.0007733938,0.00007463274,0.0008033388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01990536,"threshold_uncertainty_score":0.03957897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291183070777534,"score_gpt":0.3361113264146336,"score_spread":0.3031994957068583,"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."}}