{"id":"W2970657297","doi":"10.2196/14863","title":"Adherence and Satisfaction of Smartphone- and Smartwatch-Based Remote Active Testing and Passive Monitoring in People With Multiple Sclerosis: Nonrandomized Interventional Feasibility Study","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Multiple sclerosis; Physical therapy; Test (biology); Clinical trial; Population; Expanded Disability Status Scale; Patient satisfaction; Physical medicine and rehabilitation; Internal medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005335056,0.0001506438,0.0007483894,0.0004254184,0.0000512213,0.00004947986,0.0001388962,0.0001060942,0.00008497958],"category_scores_gemma":[0.01437609,0.0001008803,0.00005838599,0.0003608253,0.0004668141,0.0001810066,0.0002977076,0.001358565,9.347061e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042117,"about_ca_system_score_gemma":0.000339657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708362,"about_ca_topic_score_gemma":0.002657975,"domain_scores_codex":[0.995438,0.0008181266,0.0007092585,0.0003314112,0.002382725,0.0003204343],"domain_scores_gemma":[0.9933,0.004776443,0.0002798539,0.0001665451,0.001099336,0.0003778258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01239758,0.0006170326,0.9302034,0.0003675501,0.0001891795,0.00004735947,0.001425576,0.000002812588,0.00602586,3.949393e-7,0.00001893536,0.04870429],"study_design_scores_gemma":[0.03121058,0.006229991,0.9442378,0.005234607,0.00003009266,0.00005648756,0.004537599,0.006286982,0.002088379,0.00001392618,0.000001279691,0.00007229508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997731,0.0003027728,0.0001165014,0.0006353238,0.00007210553,0.001114,0.00000359847,0.000004611878,0.00002013575],"genre_scores_gemma":[0.9984707,0.0002846209,0.001105282,0.000006011122,0.0000745635,0.00001791879,5.711794e-7,0.00001281336,0.00002754871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.048632,"threshold_uncertainty_score":0.9939262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1557549878336994,"score_gpt":0.4171718182512509,"score_spread":0.2614168304175515,"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."}}