{"id":"W1994906457","doi":"10.1121/1.3588050","title":"Toronto English vowels: Deriving the vowel space from conversational data.","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Vowel; Linguistics; Variation (astronomy); Australian English; Mid vowel; Formant; Relative articulation; Space (punctuation); Coda; Schwa; American English; Identity (music); Casual; Mathematics; Computer science; Acoustics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009949565,0.0002906484,0.0001542535,0.002510315,0.001602697,0.002158394,0.0003383349,0.0002336764,0.002945765],"category_scores_gemma":[0.005951743,0.0002097243,0.0002369064,0.003116297,0.0009097929,0.0007485449,0.001301257,0.0003353559,0.0007032359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003156559,"about_ca_system_score_gemma":0.002453543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4086798,"about_ca_topic_score_gemma":0.6528279,"domain_scores_codex":[0.9993766,0.0002032267,0.00005383145,0.0001053068,0.0001995305,0.00006148407],"domain_scores_gemma":[0.9979644,0.000929644,0.0002158336,0.0001914808,0.000568682,0.000130096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000391111,0.00003432027,0.2329626,0.001004188,0.0001258542,0.0009515089,0.3070273,0.001939258,0.03785428,0.02623346,0.01296601,0.3785101],"study_design_scores_gemma":[0.000009222023,0.00008207289,0.7848453,0.0003194367,0.0000853134,0.0004525146,0.1143945,0.008514626,0.006739649,0.005332192,0.07911672,0.0001084762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698716,0.00270155,0.06163254,0.0005788338,0.00008926528,0.0002592156,0.01591582,0.0004190732,0.04853205],"genre_scores_gemma":[0.97022,0.0006077265,0.0224475,0.00002573466,0.00001368093,0.0001723273,0.003554911,0.00006250943,0.002895777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5913203,"threshold_uncertainty_score":0.8126019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200502537757738,"score_gpt":0.2931995841477387,"score_spread":0.2511945587701613,"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."}}