{"id":"W6930740603","doi":"10.5281/zenodo.15383869","title":"TERRITORIAL VARIETIES OF ENGLISH PRONUNCIATION","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pronunciation; Stress (linguistics); Varieties of English; Consonant; Vowel; British English; Mid vowel; Tone (literature)","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":[0.0004651423,0.0001523182,0.0001862363,0.0009238383,0.0005287741,0.0009921602,0.0001849499,0.0001250011,0.002800366],"category_scores_gemma":[0.001536068,0.0001017709,0.0001142674,0.0008344623,0.0009971472,0.000586286,0.0009814061,0.000195084,0.0003110642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460979,"about_ca_system_score_gemma":0.0001872049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002640047,"about_ca_topic_score_gemma":0.006990371,"domain_scores_codex":[0.9994505,0.0001663005,0.00006332604,0.0001124586,0.0001269053,0.00008041324],"domain_scores_gemma":[0.9990205,0.0003586819,0.0001862667,0.0001065565,0.0002532783,0.0000747028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001003403,0.00005999897,0.4323753,0.0006976034,0.0002373666,0.003438095,0.1534815,0.0009186375,0.1186667,0.05458152,0.001500722,0.2330391],"study_design_scores_gemma":[0.00001148842,0.000113139,0.9540715,0.00005135816,0.00005842854,0.00329644,0.02640759,0.0002947166,0.002227174,0.002531295,0.01089783,0.00003902825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842921,0.0006823185,0.0009271632,0.0000451042,0.00000743002,0.000005376012,0.0001124157,0.00001632737,0.01391185],"genre_scores_gemma":[0.9991834,0.0001178269,0.0001886415,0.000003810676,0.0000026136,0.000002732395,0.00005838631,0.00000917955,0.0004334498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002800366,"threshold_uncertainty_score":0.009368181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554024489719023,"score_gpt":0.2798446847393895,"score_spread":0.2543044398421993,"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."}}