{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004064703,0.0001011587,0.0001170693,0.00008382753,0.0001214677,0.00007554652,0.0002909138,0.00001803302,0.00007962008],"category_scores_gemma":[0.0002085904,0.0000536667,0.00001444938,0.0008746592,0.001146857,0.0003219625,0.0001076949,0.00008385078,0.000004140147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002539395,"about_ca_system_score_gemma":0.0001225475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001564808,"about_ca_topic_score_gemma":0.00004959646,"domain_scores_codex":[0.9983157,0.0001504008,0.0001371454,0.0005193749,0.0005965377,0.0002808629],"domain_scores_gemma":[0.9995125,0.0001718251,0.00006665158,0.0001585536,0.0000141962,0.00007625901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003348737,0.001003203,0.7937405,0.00001635464,0.000001236521,0.0002345671,0.002184562,0.0001121106,0.1967921,0.0005384393,0.0005761969,0.004465939],"study_design_scores_gemma":[0.0007494826,0.0004476952,0.9900597,0.00003463791,0.000002412023,0.000008429992,0.0002024681,0.0001612809,0.007014901,0.0002034447,0.001011164,0.0001043677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995061,0.000006947091,0.000006371842,0.004304965,0.00003596305,0.0002631854,0.00000810012,0.000008015548,0.0003054744],"genre_scores_gemma":[0.9967806,0.00001382382,0.0000725516,0.002993702,0.0000102745,0.00001532422,6.037228e-7,0.000002836533,0.0001102553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1963193,"threshold_uncertainty_score":0.4225643,"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."}}