{"id":"W2943425232","doi":"10.1016/j.jvoice.2019.03.014","title":"Classifying and Identifying Motor Learning Behaviors in Voice-Therapy Clinician-Client Interactions: A Proposed Motor Learning Classification Framework","year":2019,"lang":"en","type":"article","venue":"Journal of Voice","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Sydney","keywords":"Motor learning; Computer science; Psychology; Neuroscience","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":[0.01503371,0.0007635233,0.0005669344,0.005147422,0.001400607,0.00258387,0.001671243,0.0009453722,0.0009652076],"category_scores_gemma":[0.03052216,0.0002697187,0.0008476566,0.001384721,0.002888569,0.002494964,0.002350824,0.001250912,0.0002481556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454308,"about_ca_system_score_gemma":0.007060813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069216,"about_ca_topic_score_gemma":0.01623658,"domain_scores_codex":[0.9924141,0.003399864,0.0008783953,0.001004308,0.001947392,0.0003559598],"domain_scores_gemma":[0.9785188,0.009125878,0.004111438,0.0009055417,0.00665506,0.0006833298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003879275,0.001662785,0.5320452,0.001419259,0.0002283074,0.0002210969,0.02506177,0.006589848,0.009853447,0.01331177,0.001961623,0.407257],"study_design_scores_gemma":[0.0003057869,0.003017447,0.6610817,0.001884169,0.00038199,0.001185715,0.02813008,0.2426484,0.01263676,0.0384107,0.00996385,0.00035342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6624514,0.0009130457,0.3181479,0.002338743,0.00007076873,0.004139449,0.0005857891,0.0004950918,0.01085783],"genre_scores_gemma":[0.7667233,0.0001486009,0.230095,0.0001432367,0.00001635256,0.001915557,0.0003847969,0.00001803381,0.0005551027],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01503371,"threshold_uncertainty_score":0.07950681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05026313552107171,"score_gpt":0.3664439141039296,"score_spread":0.3161807785828579,"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."}}