{"id":"W1967273310","doi":"10.1109/tnsre.2014.2318351","title":"Experimental Performance Evaluation of Human Balance Control Models","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Balance (ability); Functional electrical stimulation; Control theory (sociology); Model predictive control; Physical medicine and rehabilitation; Stimulation; Intermittent control; Computer science; Control (management); Medicine; Psychology; Engineering; Control engineering; Neuroscience; Artificial intelligence","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":[0.001481129,0.0007731926,0.000374304,0.000393138,0.0002949433,0.0005061619,0.0006254698,0.0008046114,0.003411668],"category_scores_gemma":[0.005356781,0.0002405823,0.0003527162,0.000217537,0.0003370371,0.000458844,0.0006778341,0.0004373632,0.0004212443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383231,"about_ca_system_score_gemma":0.0003053198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002758357,"about_ca_topic_score_gemma":0.001830312,"domain_scores_codex":[0.9994025,0.0001941605,0.00008849073,0.0001421546,0.0001016559,0.00007097131],"domain_scores_gemma":[0.997547,0.001410698,0.0001897005,0.0003175341,0.0004297059,0.0001054639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01056343,0.00524634,0.01395532,0.001467617,0.0005227918,0.000334017,0.001092331,0.6628911,0.1646147,0.002597759,0.001604315,0.1351102],"study_design_scores_gemma":[0.0006009772,0.01687534,0.01600052,0.00006666249,0.0002120968,0.0001003911,0.0001498355,0.9256735,0.03761145,0.001030108,0.001616628,0.00006243226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475859,0.0001971408,0.04862137,0.00009662383,0.00005689493,0.0002933817,0.0003318419,0.0003652376,0.002451617],"genre_scores_gemma":[0.9917105,0.00005833412,0.006881845,0.00002025897,0.00001044252,0.0002431068,0.0002747973,0.00001654144,0.0007841148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003411668,"threshold_uncertainty_score":0.01141322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393759429157119,"score_gpt":0.3170719176428742,"score_spread":0.293134323351303,"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."}}