{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01107938,0.001105675,0.001006148,0.0009346482,0.0004955988,0.0007386651,0.0009336126,0.0007740529,0.001598705],"category_scores_gemma":[0.01898718,0.0004438459,0.001372449,0.0003403479,0.0006795126,0.0007542216,0.001139258,0.0005352035,0.0002620664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359057,"about_ca_system_score_gemma":0.001052253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007097911,"about_ca_topic_score_gemma":0.0009853184,"domain_scores_codex":[0.9927205,0.005054281,0.0008100094,0.000407357,0.0006500309,0.0003577679],"domain_scores_gemma":[0.988349,0.007262636,0.0007090031,0.0006378573,0.002557287,0.0004841717],"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":[0.0273947,0.1136687,0.1125472,0.01697546,0.00210942,0.001657752,0.04806098,0.01692431,0.09529073,0.001430472,0.001799105,0.5621412],"study_design_scores_gemma":[0.01119498,0.6058987,0.2781186,0.001659584,0.002685476,0.001506969,0.01742928,0.02640956,0.04408447,0.0010135,0.009510861,0.0004880123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985495,0.0001606508,0.007955207,0.00004267268,0.00001417397,0.005603753,0.00008198128,0.00004735179,0.0005993096],"genre_scores_gemma":[0.9445425,0.0003710046,0.0439903,0.00007091722,0.00001790625,0.01025055,0.0001806037,0.00002247382,0.0005536242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107938,"threshold_uncertainty_score":0.05859411,"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."}}