{"id":"W3212146275","doi":"10.3390/brainsci11111524","title":"In Time with the Beat: Entrainment in Patients with Phonological Impairment, Apraxia of Speech, and Parkinson’s Disease","year":2021,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Psychology; Entrainment (biomusicology); Rhythm; Dysarthria; Audiology; Apraxia; Sentence; Parkinson's disease; Cognitive psychology; Aphasia; Linguistics; Medicine; Disease","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":[0.0001645991,0.000394833,0.0003545026,0.0008013559,0.000287381,0.0003313987,0.0001036283,0.0003756559,0.001029725],"category_scores_gemma":[0.001099328,0.0001196817,0.0001554315,0.0003731395,0.000270781,0.0002917687,0.0002665091,0.0002362302,0.0001766548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355725,"about_ca_system_score_gemma":0.0001177886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008968667,"about_ca_topic_score_gemma":0.001482513,"domain_scores_codex":[0.999873,0.00001791345,0.00001990464,0.00004557087,0.00002460529,0.00001893924],"domain_scores_gemma":[0.9995868,0.00009803678,0.0001813054,0.00001967563,0.00003739584,0.00007676846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002296683,0.0003186278,0.8902597,0.0001221939,0.00007831967,0.01221916,0.002739479,0.0001584585,0.06937288,0.00008118832,0.0001034593,0.02224992],"study_design_scores_gemma":[0.00001795045,0.0007138851,0.9874915,0.000005017157,0.00003075829,0.009799431,0.0004016536,0.0001576205,0.001167325,0.00006355992,0.0001434948,0.000007823243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997069,0.0000742123,0.00005833574,0.000007372883,0.000001652202,0.000003434023,0.00001192453,0.000002414391,0.0001336491],"genre_scores_gemma":[0.9997522,0.00004167758,0.00008055581,0.0000123293,0.000004320207,0.000003307146,0.00002483975,0.000001105798,0.00007967617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001029725,"threshold_uncertainty_score":0.003444791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168611552534617,"score_gpt":0.246112145570393,"score_spread":0.2292509903169313,"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."}}