{"id":"W2083816845","doi":"10.1089/cpb.2006.9.157","title":"A Treadmill and Motion Coupled Virtual Reality System for Gait Training Post-Stroke","year":2006,"lang":"en","type":"article","venue":"CyberPsychology & Behavior","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation; McGill University; Jewish Rehabilitation Hospital","funders":"","keywords":"Gait; Virtual reality; Treadmill; Physical medicine and rehabilitation; Motion (physics); Simulation; Computer science; Adaptation (eye); Gait training; Stroke (engine); Preferred walking speed; Rehabilitation; Training (meteorology); Terrain; Task (project management); Human–computer interaction; Physical therapy; Artificial intelligence; Psychology; Engineering; Medicine","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":[0.0002613056,0.0001878833,0.0004461927,0.000185333,0.000111735,0.00001524964,0.00005107857,0.0002767503,0.00004463647],"category_scores_gemma":[0.0000816322,0.0001662333,0.0002026538,0.00008347938,0.0001818915,0.00006244035,0.0000109173,0.0001615586,0.00001586179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080416,"about_ca_system_score_gemma":0.00004889689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001179954,"about_ca_topic_score_gemma":0.00005288235,"domain_scores_codex":[0.9986249,0.00006781083,0.0004168982,0.0004436929,0.0001382778,0.0003084535],"domain_scores_gemma":[0.9990947,0.0002036193,0.0001207085,0.000274845,0.000170638,0.0001355451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002400963,0.001528884,0.1364346,0.00005467198,0.0001197876,0.0001178165,0.00140012,0.000006052975,0.3601199,0.00294959,0.002203017,0.4926646],"study_design_scores_gemma":[0.004832559,0.001426239,0.9892098,0.00006553591,0.0002919096,0.0003051519,0.001600673,0.0001121457,0.0004943828,0.000004359039,0.001489369,0.0001678324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949036,0.0001478644,0.0005701937,0.0006458419,0.0007729148,0.00113658,0.0002002652,0.000160765,0.001461962],"genre_scores_gemma":[0.994808,0.0000065191,0.0008438238,0.0002445872,0.0003025596,0.0003538013,0.0002115711,0.00003253682,0.003196634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8527752,"threshold_uncertainty_score":0.6778797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933052148373523,"score_gpt":0.3179555289553266,"score_spread":0.2886250074715914,"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."}}