{"id":"W4220731559","doi":"10.2196/30366","title":"Determining the Optimal Virtual Reality Exergame Approach for Balance Therapy in Persons With Neurological Disorders Using a Rasch Analysis: Longitudinal Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rasch model; Physical medicine and rehabilitation; Physical therapy; Psychology; Rehabilitation; Berg Balance Scale; Balance (ability); Observational study; Occupational therapy; Virtual reality; Medicine; Developmental psychology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004444777,0.0001687409,0.0003930784,0.0001728943,0.0002706664,0.00003124994,0.0001470055,0.00003889403,0.00003750996],"category_scores_gemma":[0.00006189515,0.0001069689,0.0001760508,0.0007610628,0.0001125409,0.00007447778,0.00005536407,0.0002929211,1.34226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007546501,"about_ca_system_score_gemma":0.0001183413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004706703,"about_ca_topic_score_gemma":0.0000492725,"domain_scores_codex":[0.9984022,0.0002478613,0.0002683558,0.000435163,0.0003918624,0.000254599],"domain_scores_gemma":[0.9992279,0.0002928187,0.0001176924,0.0002553177,0.00005570721,0.0000505991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001578408,0.001122624,0.9482704,0.000009948521,0.0002800125,0.000005375114,0.002348359,0.04394302,0.00004467885,0.00001144603,0.00003915376,0.00234651],"study_design_scores_gemma":[0.002746452,0.003913068,0.8854057,0.000003344814,0.000141604,0.00001249749,0.006989622,0.1004502,7.042178e-7,0.000003166966,0.0002182629,0.0001154511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952708,0.0000720091,0.001795502,0.0006713971,0.00005369006,0.002040489,0.00002563589,0.00003834665,0.00003208709],"genre_scores_gemma":[0.9963091,0.000007329526,0.001937811,0.0002932716,0.00005592542,0.001240017,0.00005568697,0.00001815981,0.00008271755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0628648,"threshold_uncertainty_score":0.4362063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07873706845622211,"score_gpt":0.3452035510157041,"score_spread":0.266466482559482,"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."}}