{"id":"W2006126858","doi":"10.1109/iccce.2012.6271326","title":"A high-level controller for robot-assisted rehabilitation based on Chedoke-McMaster stroke assessment","year":2012,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Rehabilitation; Controller (irrigation); Robot; Trajectory; Physical medicine and rehabilitation; Computer science; Work (physics); Stroke (engine); Simulation; Human–computer interaction; Control engineering; Artificial intelligence; Physical therapy; Engineering; Medicine; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001732727,0.0002201826,0.0003339715,0.0002104458,0.0001309685,0.0001755649,0.0006138468,0.0001075884,0.00004992097],"category_scores_gemma":[0.0002054639,0.0001781278,0.0001647966,0.0002441171,0.00002357574,0.0006346314,0.0000978868,0.0001175207,0.00003973704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917813,"about_ca_system_score_gemma":0.00008767714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002215367,"about_ca_topic_score_gemma":0.000005083651,"domain_scores_codex":[0.9977393,0.0001817679,0.000496713,0.0004974031,0.0005639319,0.0005208575],"domain_scores_gemma":[0.9974352,0.00134409,0.0001754265,0.0006560249,0.0002269704,0.0001623086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004869794,0.00286767,0.01177584,0.0003506315,0.0002700232,0.000002284057,0.001384416,0.1287446,0.03672123,0.4102544,0.01333345,0.3938084],"study_design_scores_gemma":[0.003313079,0.0003937404,0.0308746,0.00005002073,0.00001468489,0.00000170283,0.0000482769,0.9625217,0.0008034041,0.000291129,0.001410244,0.0002774462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003033697,0.00001832289,0.9896958,0.002011004,0.000893806,0.0008320765,0.00001622896,0.0002050946,0.003293907],"genre_scores_gemma":[0.5422063,1.029603e-7,0.4560851,0.000561167,0.0001052567,0.0001981208,0.000003439278,0.0000113091,0.0008291235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.833777,"threshold_uncertainty_score":0.726384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05283844428836113,"score_gpt":0.3076918635776802,"score_spread":0.254853419289319,"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."}}