{"id":"W2181542499","doi":"10.1152/jn.00098.2015","title":"Insight into motor control and motor impairment from stroke and beta oscillations","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation; Western University","funders":"Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Beta Rhythm; Stroke (engine); Neuroscience; BETA (programming language); Motor impairment; Motor control; Psychology; Physical medicine and rehabilitation; Motor function; Motor system; Medicine; Electroencephalography; Physics; Computer science","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":[0.00004816666,0.0001248894,0.0002927182,0.0001131237,0.00007216762,0.00005163714,0.0001771566,0.00004880969,0.000008872659],"category_scores_gemma":[0.0001911681,0.00009029688,0.00005319341,0.00005095719,0.0001629206,0.0001945533,0.0001023567,0.0002145024,0.000007707315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001776323,"about_ca_system_score_gemma":0.00004260962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001676725,"about_ca_topic_score_gemma":0.000001074891,"domain_scores_codex":[0.9989179,0.00024266,0.0003159122,0.0002175862,0.0001570321,0.0001489045],"domain_scores_gemma":[0.9989221,0.0004388103,0.0002337968,0.00012174,0.00008302774,0.000200505],"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":[0.0002265255,0.0000533566,0.00031304,0.000003624712,0.00001341894,0.00006031748,0.0005059447,0.00009415098,0.9977406,0.00004404914,0.0002281068,0.0007169022],"study_design_scores_gemma":[0.0179897,0.0344851,0.6814971,0.0001451441,0.0002691445,0.001764742,0.0004168033,0.04067589,0.1260829,0.009513895,0.08602706,0.001132459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974673,0.0001325883,0.0001959114,0.001306899,0.0006694373,0.00009852069,0.00002987953,0.00001122665,0.0000882521],"genre_scores_gemma":[0.9975981,0.00006700365,0.000429903,0.001443396,0.0003429382,0.000001260532,2.664246e-7,0.000009883553,0.00010721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8716576,"threshold_uncertainty_score":0.36822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025381647359578,"score_gpt":0.2624018592844799,"score_spread":0.2370202119249019,"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."}}