{"id":"W2138148767","doi":"10.1161/strokeaha.113.002058","title":"Robotic Identification of Kinesthetic Deficits After Stroke","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Calgary","funders":"Canadian Institutes of Health Research; University of Calgary","keywords":"Medicine; Stroke (engine); Kinesthetic learning; Physical medicine and rehabilitation; Identification (biology); Developmental psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002913514,0.0003136377,0.0002693697,0.0006718106,0.0001445321,0.0002806305,0.000194567,0.0002266104,0.001296417],"category_scores_gemma":[0.001546679,0.00009595178,0.0001277918,0.0002229831,0.000229847,0.0002531694,0.0003236805,0.0001616632,0.0002055553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817264,"about_ca_system_score_gemma":0.000236455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107211,"about_ca_topic_score_gemma":0.001978824,"domain_scores_codex":[0.9998263,0.00004108517,0.0000200313,0.00003700038,0.00005099579,0.00002461649],"domain_scores_gemma":[0.9995608,0.0001452664,0.0001674998,0.00003010671,0.00006834786,0.00002786062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002377194,0.0004497124,0.5778017,0.0007989776,0.0002681787,0.0008300762,0.0006884994,0.002706379,0.09864621,0.0001724408,0.0009420512,0.3143185],"study_design_scores_gemma":[0.00003962097,0.001604127,0.9685478,0.00005745179,0.0001403476,0.003667842,0.0002285646,0.005713625,0.01884827,0.0002004645,0.0009232987,0.00002854504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963012,0.0004946035,0.002394479,0.0000250251,0.000005236353,0.00003246618,0.0001005488,0.00004054833,0.0006058332],"genre_scores_gemma":[0.9974225,0.0002529091,0.00180183,0.0000158353,0.000007700292,0.00003127309,0.0001236158,0.00000292152,0.0003413509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296417,"threshold_uncertainty_score":0.004337013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009782746409867999,"score_gpt":0.2509049839079822,"score_spread":0.2411222374981142,"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."}}