{"id":"W2619484096","doi":"10.1161/strokeaha.116.016304","title":"Contralesional Brain–Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Neurorehabilitation; Physical medicine and rehabilitation; Exoskeleton; Medicine; Brain–computer interface; Stroke (engine); Rehabilitation; Powered exoskeleton; Chronic stroke; Physical therapy; Electroencephalography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004071677,0.0002691298,0.0005108508,0.0001731826,0.0001774425,0.0001652385,0.001024366,0.0001333396,0.00005818044],"category_scores_gemma":[0.000539492,0.0002451309,0.0002732266,0.00004094493,0.0002572581,0.000403497,0.0001858351,0.0002339826,0.00001525118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132969,"about_ca_system_score_gemma":0.0001544034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001537145,"about_ca_topic_score_gemma":0.0003224737,"domain_scores_codex":[0.997871,0.000147484,0.000512828,0.0006197916,0.0002934523,0.000555381],"domain_scores_gemma":[0.9975477,0.001227413,0.0004080604,0.0006412805,0.0000704502,0.000105079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009723515,0.0001428829,0.001403564,0.0001098037,0.00003944948,0.00001511255,0.000152688,0.0005920609,0.9738762,0.0007816811,0.001167271,0.02074688],"study_design_scores_gemma":[0.01093517,0.004360997,0.02031623,0.0004839178,0.000027789,0.0000233435,0.00005130205,0.07455576,0.8731121,0.0006600815,0.01472855,0.0007447324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569802,0.00013716,0.03771162,0.001187672,0.001612378,0.0008669028,0.000905389,0.00005017249,0.0005485069],"genre_scores_gemma":[0.9956457,0.00001997293,0.0009153417,0.0003808996,0.0003341118,0.00004637357,0.000003032907,0.00002951965,0.002625023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007641,"threshold_uncertainty_score":0.9996148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293247540716804,"score_gpt":0.2907395258839088,"score_spread":0.2678070504767407,"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."}}