{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005455275,0.0001396824,0.0002888278,0.001063142,0.0005756535,0.0008331425,0.0001805335,0.0006882603,0.002409779],"category_scores_gemma":[0.004698949,0.000177207,0.0005319643,0.001386585,0.0002223939,0.001064669,0.0005668798,0.0005495792,0.0002386564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789964,"about_ca_system_score_gemma":0.0004357953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009612353,"about_ca_topic_score_gemma":0.01185385,"domain_scores_codex":[0.999119,0.0003141665,0.0001313049,0.00007726543,0.0002519913,0.0001062628],"domain_scores_gemma":[0.9973421,0.0009330217,0.001129096,0.00009689458,0.0002752292,0.0002236951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354518,0.0001907044,0.9841256,0.00009043641,0.00009195094,0.0001566609,0.001897855,0.00001930953,0.0002174845,0.00003933363,0.0002695598,0.01276569],"study_design_scores_gemma":[0.000007282473,0.0002215423,0.9952107,0.00006726312,0.00005652527,0.0003136705,0.003486325,0.00005022621,0.00008308604,0.00003190383,0.0004649178,0.000006604513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945431,0.002140547,0.00004228319,0.0003755374,0.00001789922,0.00001454926,0.0004319657,0.000002445314,0.002431621],"genre_scores_gemma":[0.996852,0.002002175,0.00008100113,0.0002027818,0.00003536424,0.00001563214,0.0001787166,0.00000124932,0.0006310059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009612353,"threshold_uncertainty_score":0.01911283,"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."}}