{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311017,0.0003715501,0.0003510309,0.0004622102,0.0002482138,0.0004348358,0.0001650348,0.0004607262,0.001805184],"category_scores_gemma":[0.002533168,0.0001565157,0.0003357539,0.000156119,0.0002400976,0.0001975529,0.0003813233,0.0001614613,0.0002337018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221582,"about_ca_system_score_gemma":0.00009923767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008095592,"about_ca_topic_score_gemma":0.002022985,"domain_scores_codex":[0.9997278,0.00006328782,0.00004446922,0.00006456894,0.00006296616,0.00003701964],"domain_scores_gemma":[0.9991114,0.0002821173,0.0003591561,0.0000524526,0.00009738302,0.0000974936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005255085,0.000344232,0.778028,0.0004463024,0.000597169,0.001222798,0.004258747,0.0003997725,0.1443215,0.00004158887,0.0005320266,0.06455275],"study_design_scores_gemma":[0.000009338786,0.0003889575,0.9964719,0.00001240628,0.00005615812,0.0005106885,0.000427482,0.0001539464,0.001784497,0.00001558885,0.0001622982,0.000006807109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992396,0.0001845725,0.0002586464,0.00002261441,0.000006136543,0.000005455019,0.00005205665,0.00001668029,0.0002142901],"genre_scores_gemma":[0.9993113,0.00007357469,0.0003034194,0.0000146719,0.000007590893,0.00001004993,0.00009717009,0.000006184226,0.0001759743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001805184,"threshold_uncertainty_score":0.006038964,"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."}}