{"id":"W3140653068","doi":"","title":"Analysis on State of the Art of Upper Limb Rehabilitation Robots","year":2013,"lang":"en","type":"article","venue":"Robot","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Robot; Exoskeleton; Rehabilitation; Computer science; Wearable computer; Perspective (graphical); Physical medicine and rehabilitation; Human–computer interaction; Simulation; Artificial intelligence; Medicine; Physical therapy","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":[0.001360659,0.0006467144,0.0008044596,0.002820675,0.0004258493,0.002448381,0.001152507,0.001658831,0.006933649],"category_scores_gemma":[0.002673829,0.0005880021,0.0009009096,0.002550466,0.0005757493,0.002698273,0.0006328286,0.0007683387,0.002770262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008796527,"about_ca_system_score_gemma":0.00120891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009079756,"about_ca_topic_score_gemma":0.0007572569,"domain_scores_codex":[0.9986458,0.0001802662,0.0001645681,0.0002734248,0.0006483575,0.0000876325],"domain_scores_gemma":[0.9978722,0.0009929558,0.0001845521,0.0001057644,0.0007917435,0.00005279858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002856228,0.0001409837,0.0008960532,0.01071033,0.000103816,0.0002490087,0.00025333,0.007186678,0.01150407,0.02486293,0.009904023,0.9339031],"study_design_scores_gemma":[0.00003924592,0.001161012,0.01041009,0.007233866,0.0005141399,0.00239731,0.0006589234,0.03478026,0.02741442,0.02482652,0.8903717,0.0001924529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0127904,0.8288688,0.07893977,0.001819275,0.0007410127,0.0001114877,0.0003164903,0.0003812719,0.07603154],"genre_scores_gemma":[0.1340311,0.7787065,0.04971289,0.001331586,0.001190693,0.0002620837,0.001014456,0.0001448218,0.03360584],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006933649,"threshold_uncertainty_score":0.02319539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007684741445343465,"score_gpt":0.2546695084404817,"score_spread":0.2469847669951382,"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."}}