{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009525803,0.0001069205,0.0002379927,0.0001777952,0.00002092614,0.00001591467,0.00005856864,0.00007669471,0.0007338533],"category_scores_gemma":[0.0001231613,0.00008661769,0.0001717443,0.0001128356,0.00008679696,0.0001001214,0.00001563582,0.00009900134,0.0005176315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000036424,"about_ca_system_score_gemma":0.00004233425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003272132,"about_ca_topic_score_gemma":0.00000255014,"domain_scores_codex":[0.998971,0.0000313676,0.0003864023,0.0001850571,0.0002564898,0.0001696776],"domain_scores_gemma":[0.9992028,0.00007427476,0.0001098989,0.0003124118,0.0002097813,0.00009081324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001928026,0.0005227224,0.4722741,0.0005550255,0.000160272,0.000009209013,0.000562734,0.0001737476,0.5031492,0.0007290613,0.001270269,0.02040087],"study_design_scores_gemma":[0.0006794936,0.0002121318,0.9868994,0.00006597358,0.0000837245,0.00002252051,0.0002666947,0.0003907999,0.01055481,0.0001057011,0.0006235187,0.00009522251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947159,0.0003412519,0.0008296672,0.0006855525,0.0002854221,0.0004844941,0.00001268811,0.00003979442,0.002605218],"genre_scores_gemma":[0.9858966,0.00002510066,0.0009240533,0.000112794,0.00006921925,0.00008226035,0.0000106112,0.00001680359,0.01286254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5146253,"threshold_uncertainty_score":0.8035179,"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."}}