{"id":"W2478536678","doi":"10.1558/cj.v32i1.25962","title":"Learning L2 pronunciation with a mobile speech recognizer: French /y/","year":2015,"lang":"en","type":"article","venue":"CALICO Journal","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Pronunciation; Conversation; Vowel; Perception; Computer science; Psychology; Speech recognition; Linguistics; Multimedia; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001031947,0.0001087398,0.0001631107,0.0001313179,0.0001509174,0.00008152957,0.0001887102,0.0001399392,0.001396965],"category_scores_gemma":[0.0001269625,0.00008311461,0.00004006556,0.0002178104,0.00007612922,0.00006951392,0.00003358069,0.001016146,0.00076133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009643235,"about_ca_system_score_gemma":0.0002236787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001135804,"about_ca_topic_score_gemma":0.00003464399,"domain_scores_codex":[0.9985999,0.0002962853,0.0002088196,0.0001900727,0.0003059207,0.000399033],"domain_scores_gemma":[0.9989985,0.0000566088,0.0001319961,0.0001654857,0.0003418833,0.0003055811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001046504,0.0008951552,0.3523554,0.00002137954,0.0005881333,0.001609548,0.06461686,0.0006525238,0.004242977,0.0001769404,0.2372459,0.3365487],"study_design_scores_gemma":[0.01559168,0.01621011,0.242435,0.0001769075,0.0001753594,0.02241605,0.01164136,0.001409459,0.003394769,0.008652337,0.6765063,0.001390631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777094,0.0006185872,0.0005801472,0.0003074934,0.0006366631,0.0001729935,0.000002702842,0.00003313938,0.01993891],"genre_scores_gemma":[0.9863881,0.00003246787,0.0007532155,0.0001106126,0.0005980324,0.0000398326,0.000008374682,0.00002619784,0.01204319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4392605,"threshold_uncertainty_score":0.9995159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05249832009556687,"score_gpt":0.3480079015478106,"score_spread":0.2955095814522438,"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."}}