{"id":"W2801849754","doi":"10.5539/ijel.v8n5p27","title":"Acoustic Characteristics of Pakistani English Vowel Sounds","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vowel; Formant; Duration (music); Speech recognition; Statistical analysis; Mid vowel; Acoustics; Space (punctuation); Mathematics; Computer science; Statistics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001826151,0.0001814577,0.0001799475,0.0003592038,0.0003146998,0.0004619184,0.0001077956,0.0002276692,0.002068744],"category_scores_gemma":[0.0009293712,0.0001199061,0.00008624818,0.0002290522,0.000375352,0.0002210829,0.0002581137,0.0001608386,0.0004831156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000754997,"about_ca_system_score_gemma":0.0001073678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007072881,"about_ca_topic_score_gemma":0.0008225141,"domain_scores_codex":[0.9998074,0.0000233961,0.00001639449,0.00004699652,0.0000781064,0.00002765968],"domain_scores_gemma":[0.9994436,0.0002498683,0.0000821713,0.00002719725,0.0001569762,0.00004014884],"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":[0.001181692,0.000142931,0.1612467,0.0004135252,0.00004749167,0.002094201,0.007543285,0.0004912145,0.7124602,0.0002555708,0.0003762302,0.113747],"study_design_scores_gemma":[0.00001664882,0.001058826,0.924772,0.0000268211,0.00004158442,0.004121486,0.00528365,0.0008970212,0.06010683,0.0001525101,0.00347797,0.00004457317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981034,0.0000738565,0.000658075,0.00001322891,0.000003658804,0.000009313459,0.00008947067,0.000008638575,0.001040278],"genre_scores_gemma":[0.9984763,0.00008715486,0.000567638,0.00001339034,0.000005610354,0.00001223258,0.00009167497,0.000004983765,0.0007411169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002068744,"threshold_uncertainty_score":0.006920695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588246871818565,"score_gpt":0.2761914715595188,"score_spread":0.2603090028413331,"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."}}