{"id":"W2894796500","doi":"10.1016/j.msard.2018.09.036","title":"Use of eHealth and mHealth technology by persons with multiple sclerosis","year":2018,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Crohn's and Colitis Canada; Canon Foundation for Scientific Research; National Multiple Sclerosis Society; Research Manitoba; Biogen; Canadian Institutes of Health Research; Novartis","keywords":"eHealth; mHealth; Telehealth; Telemedicine; Health Information National Trends Survey; Medicine; The Internet; Health informatics; Health care; Health information technology; Patient portal; Descriptive statistics; Internet privacy; Family medicine; Medical education; Nursing; World Wide Web; Health information; Computer science; Public health; Psychological intervention","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003548296,0.0004568398,0.0008644213,0.0005318563,0.0007028813,0.00005148229,0.000145854,0.0004120772,0.0000600858],"category_scores_gemma":[0.0008220401,0.0003452603,0.000103677,0.001032355,0.002789179,0.00024549,0.0002315262,0.0005951489,0.00001021421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008366739,"about_ca_system_score_gemma":0.0001192543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002064507,"about_ca_topic_score_gemma":0.001310903,"domain_scores_codex":[0.9969031,0.0001263124,0.0006431799,0.0008981609,0.0005270298,0.0009021937],"domain_scores_gemma":[0.9978765,0.000459782,0.0002849577,0.0005662607,0.000312398,0.0005000937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001217715,0.0007836177,0.8206971,0.0003876429,0.0006123387,0.000001862439,0.002132719,0.000008428518,0.07362209,0.00005002133,0.004856974,0.09562943],"study_design_scores_gemma":[0.0138023,0.003696231,0.9576499,0.001465793,0.0002724351,0.00002438145,0.003584635,0.007041215,0.00540186,0.00003119705,0.006395331,0.0006347133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881715,0.003970756,0.000121102,0.005673705,0.00009105141,0.001329971,0.000189438,0.000200461,0.0002519751],"genre_scores_gemma":[0.9726562,0.02371493,0.00293019,0.0001976708,0.000030234,0.00009459855,0.0000441744,0.00008242438,0.0002495825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369528,"threshold_uncertainty_score":0.9999247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05599073180113199,"score_gpt":0.2815563722829021,"score_spread":0.2255656404817701,"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."}}