{"id":"W4411697079","doi":"10.2196/69750","title":"Poststroke Neurorehabilitation Using a Soft Robotic Glove Combined With a Virtual Environment: Preliminary Study on Feasibility, Safety, Effects, and User Satisfaction","year":2025,"lang":"en","type":"article","venue":"JMIR Neurotechnology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; National Research Council Canada; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec - Santé; National Research Council Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Neurorehabilitation; Preprint; Physical medicine and rehabilitation; Intervention (counseling); Stroke (engine); Psychology; Training (meteorology); Applied psychology; Physical therapy; Medicine; Rehabilitation; Computer science; Engineering; Nursing; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625054,0.0005266542,0.0005173869,0.0003434624,0.000247659,0.0002111768,0.0003093212,0.0003463294,0.002221935],"category_scores_gemma":[0.001923799,0.0002094709,0.0005300875,0.0001858348,0.0003141761,0.0002999525,0.0003712911,0.0003246871,0.0002375551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284595,"about_ca_system_score_gemma":0.0002380485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000526765,"about_ca_topic_score_gemma":0.0007374901,"domain_scores_codex":[0.9989474,0.0005504647,0.00007943093,0.00009197188,0.0001836604,0.0001470326],"domain_scores_gemma":[0.9989225,0.0004931604,0.0001707613,0.00008161968,0.0001304169,0.0002015473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.07354726,0.2154386,0.2873312,0.001581189,0.000789674,0.0008499651,0.004589831,0.001254455,0.1835482,0.0001795443,0.0004339297,0.2304561],"study_design_scores_gemma":[0.002758372,0.5042907,0.4736817,0.00004033317,0.0003349455,0.0005512147,0.0009009293,0.001714875,0.01503751,0.00003022639,0.0006215051,0.00003762456],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995847,0.00002103269,0.0002227056,0.000003757316,0.000001510714,0.00006414666,0.00001408024,0.000002826329,0.0000852579],"genre_scores_gemma":[0.9986392,0.00006116054,0.0008355599,0.00001776709,0.000008722648,0.0001722882,0.00007032443,0.000001753833,0.0001933541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002221935,"threshold_uncertainty_score":0.008594275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015797017032059,"score_gpt":0.2760724184059269,"score_spread":0.2659144482356063,"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."}}