{"id":"W2151515118","doi":"10.1109/iembs.2005.1616935","title":"Development of an Interactive Motivating Tool for Rehabilitation Movements","year":2005,"lang":"en","type":"article","venue":"","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Biofeedback; Human–computer interaction; Computer science; Physical medicine and rehabilitation; Balance (ability); Center of pressure (fluid mechanics); Rehabilitation; Balance disorders; Balance training; Trajectory; Population; Simulation; Physical therapy; Medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006711019,0.0007293764,0.0002536795,0.0006804309,0.0002249895,0.0005603675,0.001316172,0.0005410224,0.004802999],"category_scores_gemma":[0.002571876,0.0002454701,0.0004061224,0.0001609382,0.0002287814,0.0006190529,0.0007052238,0.0004095515,0.0009533369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306181,"about_ca_system_score_gemma":0.0003918438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261602,"about_ca_topic_score_gemma":0.000415744,"domain_scores_codex":[0.9996006,0.00009577777,0.00002489175,0.00006597472,0.0001686456,0.0000441815],"domain_scores_gemma":[0.9991375,0.000481671,0.00003577456,0.00005946422,0.0001678289,0.0001177506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005712133,0.001666075,0.00371671,0.0007378344,0.00006333476,0.0006920929,0.001148481,0.003590279,0.1719018,0.004313585,0.003789471,0.8078091],"study_design_scores_gemma":[0.001542003,0.01356251,0.06455271,0.001156574,0.0008953852,0.008780743,0.00150135,0.2769482,0.3684202,0.008600034,0.2535402,0.0005000918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1589813,0.0002555348,0.8272743,0.0001932632,0.0001147851,0.00113101,0.0001391789,0.005627345,0.00628342],"genre_scores_gemma":[0.2235183,0.000271342,0.7678576,0.0001011104,0.00004167623,0.001179918,0.0003227074,0.0002651844,0.006442339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004802999,"threshold_uncertainty_score":0.01606762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043166134533709,"score_gpt":0.3977857878926312,"score_spread":0.3673541265472941,"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."}}