{"id":"W4387108831","doi":"10.2196/49702","title":"A Brain Computer Interface Neuromodulatory Device for Stroke Rehabilitation: Iterative User-Centered Design Approach","year":2023,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Callaghan Innovation","keywords":"Brain–computer interface; Rehabilitation; Human–computer interaction; Computer science; Stroke (engine); Physical medicine and rehabilitation; Interface (matter); User interface; Psychology; Neuroscience; Medicine; Engineering; Mechanical engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02497269,0.001667838,0.0006379049,0.002293102,0.002210005,0.003928738,0.002383854,0.00141407,0.002400542],"category_scores_gemma":[0.01615243,0.0009102446,0.001367306,0.0009450661,0.003751227,0.00287298,0.004054016,0.001707241,0.0004862306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689646,"about_ca_system_score_gemma":0.005081637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176986,"about_ca_topic_score_gemma":0.002306875,"domain_scores_codex":[0.9711508,0.02386562,0.0009060691,0.001018842,0.002531719,0.0005271124],"domain_scores_gemma":[0.9832132,0.01232865,0.0005977225,0.0007951704,0.002610799,0.0004543821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009049752,0.003144255,0.01239251,0.01062151,0.0004324107,0.001378852,0.3444177,0.01504176,0.05199717,0.065409,0.0055485,0.4887114],"study_design_scores_gemma":[0.00257929,0.01817911,0.02401283,0.0107524,0.001642419,0.004921204,0.2434444,0.1016328,0.08966804,0.09797623,0.4042988,0.0008924489],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1541551,0.001393408,0.8086503,0.00155995,0.0001341173,0.01407984,0.0001258512,0.0006024409,0.01929897],"genre_scores_gemma":[0.2050248,0.0006972498,0.7825599,0.0003409489,0.00001885145,0.008315006,0.0001028655,0.00009142003,0.002848997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02497269,"threshold_uncertainty_score":0.1320698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05240760013423766,"score_gpt":0.3238458935868585,"score_spread":0.2714382934526208,"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."}}