{"id":"W3179052273","doi":"10.1109/tnsre.2021.3097007","title":"Real-Time Voluntary Motion Prediction and Parkinson’s Tremor Reduction Using Deep Neural Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":26,"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; Ontario Ministry of Research, Innovation and Science; Ontario Research Foundation; Ministero dello Sviluppo Economico; California HIV/AIDS Research Program","keywords":"Computer science; Estimator; Reduction (mathematics); Motion (physics); Artificial neural network; Task (project management); Nonlinear system; Artificial intelligence; Machine learning; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007646871,0.0001806697,0.0002507333,0.0001218856,0.0001576739,0.00003909218,0.00001428223,0.0001177662,0.00001124826],"category_scores_gemma":[0.0000124627,0.0001604555,0.00008471023,0.0002044096,0.00004242027,0.0001855593,0.000001215844,0.000185426,8.470508e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000741843,"about_ca_system_score_gemma":0.000006932494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006498,"about_ca_topic_score_gemma":0.000002808979,"domain_scores_codex":[0.9989424,0.00007317313,0.0002929218,0.0003671932,0.0001441994,0.0001801307],"domain_scores_gemma":[0.999507,0.0001099242,0.00004826607,0.0001372729,0.00006927302,0.0001282764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000150063,0.000207225,0.001473097,0.0002320475,0.00007531017,0.00002846468,0.0001993884,0.9508486,0.03512729,0.000009149785,0.00001273043,0.0116366],"study_design_scores_gemma":[0.0008881302,0.0005373485,0.02979668,0.00007800532,0.0001367379,0.0003003576,0.0001484736,0.9678029,0.0001716556,0.000006325907,0.00001876769,0.0001146537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495324,0.0003158805,0.04841553,0.0003126218,0.0008191432,0.000434106,0.00001179236,0.0001459288,0.00001257717],"genre_scores_gemma":[0.9989028,0.0001554438,0.0006497618,0.00002052266,0.0001034087,0.00004341776,0.00001514408,0.00002596933,0.00008356194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04937035,"threshold_uncertainty_score":0.6543185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009350784985507886,"score_gpt":0.2185308917779774,"score_spread":0.2091801067924695,"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."}}