{"id":"W2772325037","doi":"10.1044/2017_jslhr-s-17-0075","title":"Sentence-Level Movements in Parkinson's Disease: Loud, Clear, and Slow Speech","year":2017,"lang":"en","type":"article","venue":"Journal of Speech Language and Hearing Research","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; York University; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Intelligibility (philosophy); Sentence; Tongue; Audiology; Psychology; Speech production; Movement (music); Speech recognition; Computer science; Acoustics; Linguistics; Medicine; Artificial intelligence","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":[0.0006440062,0.0004470179,0.0002691097,0.0004456537,0.0001589856,0.0002973549,0.0001107001,0.0002623956,0.0008856648],"category_scores_gemma":[0.004083022,0.000132646,0.000192054,0.0001414377,0.0003112858,0.000316797,0.000307187,0.0001962923,0.0001468624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163421,"about_ca_system_score_gemma":0.00008423459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477303,"about_ca_topic_score_gemma":0.0006986321,"domain_scores_codex":[0.9996886,0.00008597675,0.00005738565,0.00005202097,0.00009954511,0.00001649018],"domain_scores_gemma":[0.9980087,0.001096152,0.0005299789,0.00006430791,0.0001764524,0.000124395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0107676,0.0003317384,0.3146765,0.001052201,0.0003626175,0.002206308,0.003744481,0.0007032656,0.5706923,0.0001085803,0.0002668851,0.09508744],"study_design_scores_gemma":[0.00005090707,0.00247338,0.973943,0.00002351015,0.0001411702,0.002350765,0.0005142364,0.0006715349,0.01948535,0.0000818769,0.0002429873,0.00002135147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992035,0.0001684485,0.0004092891,0.000006824597,0.00000335314,0.00001150738,0.00003654618,0.000006560491,0.0001539989],"genre_scores_gemma":[0.9987702,0.0001001537,0.0008866219,0.00001317903,0.000007842436,0.00001661327,0.00008828803,0.000005428662,0.0001116708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008856648,"threshold_uncertainty_score":0.003405929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104857570510847,"score_gpt":0.4042686208270151,"score_spread":0.2994110503161682,"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."}}