{"id":"W4362561441","doi":"10.31219/osf.io/wc29m","title":"Speaking to a metronome reduces kinematic variability in typical speakers and people who stutter","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Stuttering Research and Treatment","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Medical Research Council; European Commission; Wellcome Trust; Royal Academy of Engineering; Economic and Social Research Council; Bundesministerium für Bildung und Forschung; Australian Government","keywords":"Metronome; Audiology; Fluency; Psychology; Stuttering; Phonation; Vocal tract; Speech production; Speech recognition; Medicine; Rhythm; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00119798,0.0003012196,0.0006469448,0.0004188702,0.00003895837,0.0001097104,0.0002907222,0.000193241,0.002043829],"category_scores_gemma":[0.0003866338,0.0002518008,0.00009448879,0.0002901423,0.00005760402,0.00002176312,0.001178223,0.0005140952,0.0008394744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000242552,"about_ca_system_score_gemma":0.00005840006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005148905,"about_ca_topic_score_gemma":0.002193052,"domain_scores_codex":[0.9973466,0.0003531628,0.000435877,0.00100829,0.000250496,0.0006055781],"domain_scores_gemma":[0.9982765,0.0006569127,0.00006241816,0.0007456678,0.00003343646,0.0002250216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001255209,0.001696802,0.8932399,0.001252502,0.001971454,0.0006592738,0.04241492,0.0004162286,0.0001294592,0.003785049,0.01280235,0.04037681],"study_design_scores_gemma":[0.0005336066,0.0001177957,0.9949441,0.0001746969,0.00003139189,0.000005525695,0.001228871,0.0001112008,0.00001797547,0.002424979,0.0001550709,0.0002547938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841723,0.0000562631,0.0006229126,0.003915157,0.0005793768,0.001160712,0.00002473341,0.0001125653,0.009356013],"genre_scores_gemma":[0.9942331,0.000007112366,0.00240784,0.0001293968,0.0001400761,0.0005371829,0.00001649828,0.00003966066,0.002489101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017042,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06540304563145574,"score_gpt":0.3857010474735243,"score_spread":0.3202980018420686,"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."}}