{"id":"W2026612570","doi":"10.1121/1.3518452","title":"Test of the movement expansion model: Anticipatory vowel lip protrusion and constriction in French and English speakers","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Coarticulation; Rounding; Movement (music); Anticipation (artificial intelligence); Consonant; Vowel; Linguistics; Psychology; Computer science; Speech recognition; Acoustics; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007259889,0.00008494105,0.0002099268,0.00002329162,0.00009335914,0.000003780476,0.0002950464,0.00008682923,0.00004098576],"category_scores_gemma":[0.0001941535,0.00004120604,0.00009635562,0.0001802043,0.001173738,0.00002990832,0.0002244596,0.0004913681,3.164174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000227479,"about_ca_system_score_gemma":0.00006286774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003841049,"about_ca_topic_score_gemma":0.000003505765,"domain_scores_codex":[0.9989423,0.000203226,0.0003421619,0.00008572093,0.0002516763,0.0001749313],"domain_scores_gemma":[0.9988995,0.0003572144,0.0003202799,0.0002334529,0.000138467,0.00005106364],"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":[0.00133704,0.003388826,0.29134,0.0002537265,0.0007237738,0.000005453828,0.3107339,0.003508458,0.3175216,0.00008823111,0.02553922,0.04555971],"study_design_scores_gemma":[0.00138018,0.0009701064,0.9055788,0.000169262,0.0001920638,0.00002991111,0.008980666,0.07456639,0.00385337,0.004102055,0.00005592143,0.0001212494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950353,0.000330591,0.003147862,0.000684388,0.000181175,0.0002352124,0.000007733127,0.000002325887,0.0003754106],"genre_scores_gemma":[0.9973947,0.0007300057,0.001485187,0.0003068574,0.00003545682,0.00000210644,6.648327e-8,0.000006927816,0.00003870377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6142388,"threshold_uncertainty_score":0.4324687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334988526813645,"score_gpt":0.2910556576319491,"score_spread":0.2577057723638126,"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."}}