{"id":"W4297491420","doi":"10.3390/s22197322","title":"Using Deep Learning for Task and Tremor Type Classification in People with Parkinson’s Disease","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Compute Canada; Ministero dello Sviluppo Economico; California HIV/AIDS Research Program","keywords":"Task (project management); Wearable computer; Motion (physics); Computer science; Artificial intelligence; Physical medicine and rehabilitation; Identification (biology); Parkinson's disease; Electromyography; Machine learning; Disease; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000771802,0.0005997659,0.0005143571,0.0005543238,0.0002070244,0.0003882543,0.0002825093,0.0006266724,0.0004190067],"category_scores_gemma":[0.001705173,0.000185266,0.000408296,0.0002687812,0.0001425427,0.0003735762,0.0005318274,0.0004419195,0.0001818244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797903,"about_ca_system_score_gemma":0.000254006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006649133,"about_ca_topic_score_gemma":0.007811878,"domain_scores_codex":[0.9997403,0.00007666019,0.00002286106,0.00007147915,0.00003234875,0.00005635559],"domain_scores_gemma":[0.9997174,0.0001503529,0.00002659203,0.00002385959,0.0000554032,0.00002635777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002028644,0.0008954839,0.212754,0.0001777575,0.0003952142,0.0006394858,0.0005852932,0.09760028,0.01943152,0.0003406248,0.001826113,0.6633257],"study_design_scores_gemma":[0.00003045378,0.0003563337,0.05906353,0.00003363578,0.00009705892,0.0001680813,0.0001762228,0.9347134,0.004139723,0.0008203467,0.0003807681,0.00002041853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703946,0.0004939234,0.02757406,0.0001822,0.00003021179,0.00003231588,0.0001834384,0.0001742918,0.0009349059],"genre_scores_gemma":[0.9941906,0.00009605333,0.00494089,0.00004139946,0.000007301393,0.00001393791,0.0001806386,0.000003684165,0.0005254622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006649133,"threshold_uncertainty_score":0.01322085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394549625770126,"score_gpt":0.2842871322531323,"score_spread":0.2448321696761197,"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."}}