{"id":"W2800322699","doi":"","title":"Designing a Robotic Exoskeleton for Shoulder Complex Rehabilitation","year":2007,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workspace; Exoskeleton; Elbow; Physical medicine and rehabilitation; Inertia; Rehabilitation; Shoulder joint; Computer science; Robot; Upper limb; Engineering; Simulation; Control theory (sociology); Artificial intelligence; Physical therapy; Medicine; Control (management); Surgery","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":[0.0003374024,0.0004429674,0.0003795123,0.0002434229,0.0002443323,0.0003057856,0.0004784137,0.000555445,0.001829835],"category_scores_gemma":[0.0002677867,0.000214772,0.0003249637,0.0001124693,0.0002031178,0.0003809061,0.0003260184,0.0001821503,0.0004825548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008353195,"about_ca_system_score_gemma":0.0002791862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001251168,"about_ca_topic_score_gemma":0.0002135071,"domain_scores_codex":[0.9998524,0.00003241473,0.00001777682,0.00003612987,0.00004498129,0.0000162657],"domain_scores_gemma":[0.9999237,0.00002055471,0.0000145058,0.00001093247,0.00001842236,0.00001181114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003653307,0.0003446298,0.00135439,0.001177892,0.0001204404,0.001044427,0.0002568139,0.02317477,0.740161,0.005155567,0.002081457,0.2247633],"study_design_scores_gemma":[0.001245042,0.0107305,0.01437828,0.0003461981,0.0004779069,0.0101322,0.0003150889,0.5281975,0.276167,0.009562391,0.1482481,0.0001997539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09941544,0.0008730604,0.8906862,0.0003294852,0.0002468813,0.0005301845,0.00008632248,0.001323443,0.00650905],"genre_scores_gemma":[0.5231414,0.0006773924,0.4658383,0.0001696864,0.00007657042,0.0008940842,0.0001138112,0.00006368235,0.009025015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001829835,"threshold_uncertainty_score":0.006121397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454178417940443,"score_gpt":0.3466212952205961,"score_spread":0.3012034534265518,"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."}}