{"id":"W1492483197","doi":"10.1155/2015/590584","title":"A Novel Study on Natural Robotic Rehabilitation Exergames Using the Unaffected Arm of Stroke Patients","year":2015,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rehabilitation; Session (web analytics); Computer science; Novelty; Robotic arm; Physical medicine and rehabilitation; Virtual reality; Simulation; Wired glove; Human–computer interaction; Physical therapy; Medicine; Artificial intelligence; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004506542,0.0001492362,0.0003564934,0.0002300656,0.00003353666,0.00003033036,0.0001984073,0.00007396248,0.00001035328],"category_scores_gemma":[0.002024399,0.0000951398,0.0002624595,0.0002336605,0.00009854434,0.0001171295,0.00003336197,0.0004053907,0.000001111137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798935,"about_ca_system_score_gemma":0.0001278908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002006017,"about_ca_topic_score_gemma":0.000003235444,"domain_scores_codex":[0.9978023,0.0001680491,0.0007281096,0.0001361918,0.001019867,0.0001454899],"domain_scores_gemma":[0.9955121,0.0008987249,0.0006758595,0.0001603296,0.002634555,0.0001183866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005548275,0.006751117,0.5992503,0.00002226366,0.00164939,0.00004199669,0.001747688,0.3772325,0.002854158,0.00008794399,0.001797561,0.003016825],"study_design_scores_gemma":[0.01004195,0.004941199,0.9385399,0.0004637051,0.0003088369,0.0001375161,0.006588895,0.03841907,0.0002004818,0.00003176741,0.0001759575,0.0001507284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833388,0.0001064185,0.01255621,0.0007121373,0.002770906,0.0004208681,0.00004988028,0.00001086528,0.00003394598],"genre_scores_gemma":[0.998008,0.000005498021,0.001371777,0.00008715111,0.0004261427,0.000002128547,0.00005882025,0.00001461564,0.00002588528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3392896,"threshold_uncertainty_score":0.3879688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307961014604555,"score_gpt":0.305808778110873,"score_spread":0.2827291679648275,"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."}}