{"id":"W3131819654","doi":"10.2196/22826","title":"Design and Evaluation of User-Centered Exergames for Patients With Multiple Sclerosis: Multilevel Usability and Feasibility Studies","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innosuisse - Schweizerische Agentur für Innovationsförderung","keywords":"Usability; Multiple sclerosis; Cognition; Quality of life (healthcare); Physical activity; Physical medicine and rehabilitation; Affect (linguistics); Physical therapy; Psychology; Medicine; Human–computer interaction; Computer science; Neuroscience; Psychotherapist","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":[0.001040181,0.0002513829,0.0006855026,0.00007475682,0.000151616,0.00002973285,0.0000603414,0.00007550313,0.00001096514],"category_scores_gemma":[0.003876884,0.0001873091,0.00006707715,0.0001474791,0.0004959824,0.0001652979,0.0001774472,0.0001074651,4.207033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636296,"about_ca_system_score_gemma":0.000176475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002109584,"about_ca_topic_score_gemma":0.0001099693,"domain_scores_codex":[0.9975472,0.0003387382,0.000420137,0.0006381735,0.0007253053,0.0003304329],"domain_scores_gemma":[0.99582,0.0008695225,0.0001631085,0.0004437316,0.00255935,0.0001443064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002307999,0.001181499,0.8849509,0.001194377,0.0004938519,8.057556e-7,0.002925457,0.00002676463,0.01063609,0.000001785873,0.0002936662,0.09598683],"study_design_scores_gemma":[0.01367245,0.00093016,0.9717979,0.0005284743,0.000213752,0.000001704922,0.001688444,0.003942028,0.006954017,0.0000422439,0.00006124775,0.0001675501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910926,0.002679412,0.0002388052,0.0002557275,0.00005587437,0.005550962,0.00008266854,0.00003810477,0.000005894375],"genre_scores_gemma":[0.9849877,0.0009772213,0.01285815,0.00003292862,0.00002430266,0.001029581,0.00002853889,0.00002616351,0.00003537358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09581928,"threshold_uncertainty_score":0.7638241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2227716079348991,"score_gpt":0.3980525492059884,"score_spread":0.1752809412710894,"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."}}