{"id":"W3112342389","doi":"10.5603/pjnns.a2020.0096","title":"Early post-stroke rehabilitation for upper limb motor function using virtual reality and exoskeleton: equally efficient in older patients","year":2020,"lang":"en","type":"article","venue":"Neurologia i Neurochirurgia Polska","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Rehabilitation; Stroke (engine); Functional Independence Measure; Physical medicine and rehabilitation; Convalescence; Physical therapy; Paresis; Activities of daily living; Upper limb; Exoskeleton; Powered exoskeleton; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200077,0.0003195608,0.0007658062,0.0002470093,0.0001797052,0.0003375248,0.0001730776,0.0004097211,0.001387583],"category_scores_gemma":[0.0007716369,0.00007425836,0.0006828203,0.0001481755,0.0001453685,0.000231197,0.0002703454,0.0001740064,0.0001953572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129134,"about_ca_system_score_gemma":0.0002335512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003645233,"about_ca_topic_score_gemma":0.0007275452,"domain_scores_codex":[0.9997725,0.0000816216,0.00002882762,0.00004201248,0.00002811652,0.00004685798],"domain_scores_gemma":[0.9998069,0.00003915326,0.0000607694,0.00001416701,0.00002244826,0.00005651839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.08905222,0.03010827,0.1594531,0.00433663,0.001562392,0.001264268,0.001005924,0.001483585,0.05221692,0.000226493,0.0007886355,0.6585016],"study_design_scores_gemma":[0.00512301,0.2058107,0.7778021,0.0005702628,0.001404577,0.001250507,0.0005723162,0.001095603,0.003839877,0.0002180992,0.002272729,0.0000404099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964421,0.002756664,0.0001876527,0.00004170563,0.00001928078,0.00006784278,0.0000310531,0.000005125823,0.0004484892],"genre_scores_gemma":[0.9981241,0.001131196,0.0003247947,0.00004693753,0.00002461907,0.00007461272,0.00005718906,8.260536e-7,0.0002158048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001387583,"threshold_uncertainty_score":0.00464195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770643155921402,"score_gpt":0.261494715429388,"score_spread":0.2437882838701739,"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."}}