{"id":"W2807639951","doi":"10.1075/jslp.00006.bli","title":"Computer-assisted visual articulation feedback in L2 pronunciation instruction","year":2018,"lang":"en","type":"article","venue":"Journal of Second Language Pronunciation","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health","keywords":"Pronunciation; Articulation (sociology); Computer science; Modalities; Corrective feedback; Auditory feedback; Focus (optics); Visual feedback; Place of articulation; Manner of articulation; Human–computer interaction; Speech recognition; Psychology; Artificial intelligence; Linguistics; Vowel; Consonant; Mathematics education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002305987,0.000615654,0.0003529605,0.0006673714,0.0002577927,0.001333117,0.0007055885,0.0009931126,0.004916861],"category_scores_gemma":[0.01561056,0.0002173087,0.000178578,0.0003787868,0.0006625032,0.001064132,0.001345511,0.0005566574,0.0006061005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004538478,"about_ca_system_score_gemma":0.0007352582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496991,"about_ca_topic_score_gemma":0.001629703,"domain_scores_codex":[0.9977399,0.001400507,0.0001000532,0.000142975,0.0005308386,0.00008577177],"domain_scores_gemma":[0.9934824,0.005588927,0.0001836374,0.000130482,0.0004355575,0.0001789271],"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":[0.003055937,0.001144644,0.002798341,0.002102052,0.000024806,0.0003988318,0.003876474,0.003386765,0.05963085,0.002355922,0.002549997,0.9186755],"study_design_scores_gemma":[0.003626101,0.05117936,0.1844464,0.008269363,0.0007955577,0.009599872,0.01694119,0.1137739,0.4477685,0.03166167,0.1307282,0.001209829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7935216,0.01277228,0.1489804,0.001384766,0.0004986728,0.001096219,0.0002721653,0.002541103,0.03893275],"genre_scores_gemma":[0.9329139,0.003239149,0.05749701,0.0002147983,0.0001112222,0.0003975166,0.00008825005,0.0001224471,0.005415664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004916861,"threshold_uncertainty_score":0.0164485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918541120166758,"score_gpt":0.3345600451761223,"score_spread":0.3153746339744548,"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."}}