{"id":"W2137867640","doi":"10.1109/vecims.2011.6053839","title":"E-dumbbell: An electronic dumbbell with haptic feedback for wrist rehabilitation","year":2011,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dumbbell; Wrist; Haptic technology; Rehabilitation; Computer science; Accelerometer; Human–computer interaction; Physical medicine and rehabilitation; Interface (matter); Simulation; Artificial intelligence; Physical therapy; Medicine; Anatomy; Operating system","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":[0.0004524867,0.0007629869,0.0005905582,0.0008629585,0.0003377591,0.0007673717,0.002365971,0.001125663,0.01496538],"category_scores_gemma":[0.0009054289,0.0003076122,0.0002744523,0.0004116732,0.0003975143,0.0009063696,0.001165053,0.0004365926,0.002739139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740946,"about_ca_system_score_gemma":0.0003953562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010324,"about_ca_topic_score_gemma":0.001512382,"domain_scores_codex":[0.9994131,0.0000966175,0.00003716562,0.00008631548,0.0003007011,0.00006601056],"domain_scores_gemma":[0.9995035,0.0001180818,0.00004540202,0.00005746774,0.0001549077,0.0001206234],"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":[0.002569364,0.000713134,0.002849157,0.00122838,0.0001156118,0.001328168,0.0002537168,0.002339924,0.2995824,0.003787961,0.0201294,0.6651028],"study_design_scores_gemma":[0.00161642,0.01381992,0.03067715,0.0006717967,0.0005397564,0.02137939,0.0005665852,0.1519174,0.3922704,0.00316914,0.3826791,0.0006927959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1122571,0.00387324,0.8483204,0.0007826373,0.0008445428,0.001060998,0.0005505491,0.01240905,0.01990142],"genre_scores_gemma":[0.622958,0.001672952,0.3173832,0.001257807,0.0002567628,0.0007106051,0.0009430681,0.0004792223,0.0543383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01496538,"threshold_uncertainty_score":0.05006421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654064661160317,"score_gpt":0.2606147501741086,"score_spread":0.2440741035625054,"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."}}