{"id":"W4415273377","doi":"10.54254/2753-8818/2025.ld27617","title":"Brain-Computer Interfaces in Stroke Rehabilitation: Mechanism, Applications, and Future","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Brain–computer interface; Neurostimulation; Motor imagery; Cognition; Neuroplasticity; Functional electrical stimulation; Virtual reality; Brain stimulation; Stroke (engine)","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":[0.001582016,0.0006806678,0.0007497761,0.001008161,0.0003191878,0.002011193,0.0008736619,0.002640603,0.005380754],"category_scores_gemma":[0.0014612,0.0002101354,0.000539582,0.0009097713,0.00127476,0.002227433,0.0005983482,0.001749141,0.001766877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007968412,"about_ca_system_score_gemma":0.001523867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009010689,"about_ca_topic_score_gemma":0.001378199,"domain_scores_codex":[0.9994523,0.0001837986,0.00004774597,0.0000927185,0.0001684443,0.00005491158],"domain_scores_gemma":[0.999003,0.0005015217,0.0000779978,0.00004830258,0.0002932382,0.00007604254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002589293,0.0004104362,0.001797074,0.005982654,0.00009757635,0.0004137382,0.0003521837,0.001141215,0.008194517,0.05180985,0.01823267,0.9113091],"study_design_scores_gemma":[0.0001166852,0.002434955,0.0102558,0.01040943,0.000279981,0.004001496,0.001201928,0.0066469,0.007956243,0.1147155,0.8418236,0.0001575012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004163862,0.9561876,0.008927219,0.01194295,0.0008078985,0.00007258103,0.00006528826,0.0001389818,0.01769357],"genre_scores_gemma":[0.0522651,0.924152,0.01071183,0.003993478,0.002123079,0.0001981571,0.0001117707,0.00002382803,0.006420798],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005380754,"threshold_uncertainty_score":0.01800042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003694739836103813,"score_gpt":0.2592415372223,"score_spread":0.2555467973861962,"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."}}