{"id":"W3008683693","doi":"10.2196/15344","title":"Design, Development, and Testing of an App for Dual-Task Assessment and Training Regarding Cognitive-Motor Interference (CMI-APP) in People With Multiple Sclerosis: Multicenter Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novartis Pharma; Stiftelsen Promobilia","keywords":"Cognition; Cognitive training; Rehabilitation; Task (project management); Psychology; Elementary cognitive task; Physical medicine and rehabilitation; Computer science; Multimedia; Medicine; Physical therapy; Engineering","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":[0.005428794,0.001325099,0.000940981,0.0008534348,0.0007287029,0.0007931095,0.001292057,0.001236747,0.003178684],"category_scores_gemma":[0.00559502,0.0005439044,0.001075802,0.0002517248,0.0006804928,0.0008613011,0.001451282,0.0007769853,0.001180127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000458448,"about_ca_system_score_gemma":0.00167529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402622,"about_ca_topic_score_gemma":0.001545157,"domain_scores_codex":[0.9978929,0.000846427,0.0002748368,0.0003845592,0.0003240686,0.0002772654],"domain_scores_gemma":[0.9968033,0.0009713643,0.0002020679,0.0002495933,0.001214216,0.0005594263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02304619,0.06979463,0.1346175,0.006884713,0.001037676,0.00668859,0.01825185,0.003745385,0.1130143,0.001026576,0.01402887,0.6078636],"study_design_scores_gemma":[0.01701547,0.3514017,0.4267679,0.001820182,0.00336471,0.009129222,0.01462405,0.02596859,0.08129323,0.001603881,0.06610831,0.0009028651],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185417,0.000540895,0.03553703,0.0003072508,0.0001626862,0.04017929,0.001207947,0.001384471,0.002138693],"genre_scores_gemma":[0.7115351,0.0008340632,0.213596,0.0007483727,0.0001072515,0.06712241,0.001662032,0.0002106675,0.004184165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005428794,"threshold_uncertainty_score":0.02871054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.337437839469074,"score_gpt":0.4237665829629677,"score_spread":0.08632874349389369,"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."}}