{"id":"W3037691155","doi":"10.2196/19661","title":"Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Health literacy; Medicine; Family medicine; Medical education; Health care; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005058938,0.000659689,0.001834396,0.000440161,0.002610195,0.0000427798,0.0003666632,0.0004492949,0.0002002829],"category_scores_gemma":[0.0006670411,0.0006189676,0.00005230838,0.001412768,0.0002098734,0.0003265151,0.0003468084,0.002555068,0.0000963517],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056158,"about_ca_system_score_gemma":0.0073801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01833655,"about_ca_topic_score_gemma":0.007514749,"domain_scores_codex":[0.9853581,0.005815774,0.003593497,0.001771837,0.000593146,0.002867675],"domain_scores_gemma":[0.9893478,0.001437968,0.001519448,0.0007623499,0.0002802302,0.00665224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006162931,0.000402733,0.8343821,0.008315219,0.00001081633,0.000005291681,0.04123671,0.000002377674,4.162578e-7,0.0006113207,0.009534239,0.1048825],"study_design_scores_gemma":[0.005377055,0.007819844,0.892051,0.0004757127,0.00002049473,0.00001483114,0.01673038,0.0005940564,2.025601e-7,0.0003101075,0.07605536,0.0005509137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586349,0.0112231,0.00007465317,0.007411387,0.0004858664,0.02115999,0.0004516186,0.00028729,0.0002712423],"genre_scores_gemma":[0.9364629,0.02111615,0.0004909183,0.02313429,0.0001300396,0.01831294,0.0002204592,0.00008668503,0.00004560355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043316,"threshold_uncertainty_score":0.9997461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156484980033913,"score_gpt":0.4644070392663942,"score_spread":0.372842189466055,"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."}}