{"id":"W7010324104","doi":"","title":"Home-based stroke rehabilitation robotics for the upper limb: User needs, design, and control","year":2023,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Stroke (engine); Robot; Robotics; Population; Set (abstract data type); Telemedicine; Rehabilitation robotics; Stakeholder","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":[0.005747243,0.00035437,0.0004323854,0.0006321616,0.000458205,0.001743668,0.001088825,0.0008101499,0.001830986],"category_scores_gemma":[0.01125798,0.0002813455,0.0004330422,0.0004219368,0.0005151107,0.001804702,0.0006450235,0.0003204993,0.0004267835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009369565,"about_ca_system_score_gemma":0.001121313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966237,"about_ca_topic_score_gemma":0.00254844,"domain_scores_codex":[0.995212,0.002965626,0.0002517635,0.000223274,0.001186054,0.0001613622],"domain_scores_gemma":[0.9933791,0.003649272,0.0004451629,0.0003516925,0.002034284,0.00014038],"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":[0.0008587125,0.0008513689,0.02240522,0.008885552,0.0001843495,0.001172826,0.02149402,0.01506387,0.05904424,0.01277651,0.005072653,0.8521907],"study_design_scores_gemma":[0.0005719909,0.01697683,0.1811877,0.01260927,0.001567037,0.009427262,0.07888971,0.1733601,0.09917457,0.03548446,0.3899206,0.0008305704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7283939,0.006875568,0.2225312,0.001815643,0.00008200468,0.001075759,0.0001286936,0.0007594453,0.03833794],"genre_scores_gemma":[0.8826571,0.003044028,0.1038834,0.0002216791,0.00002578402,0.0008127757,0.0001225022,0.0001053054,0.009127378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005747243,"threshold_uncertainty_score":0.03039467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007989081474531416,"score_gpt":0.2119320056752419,"score_spread":0.2039429242007105,"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."}}