{"id":"W2784483185","doi":"10.2196/mhealth.8619","title":"Prevalence of Health App Use Among Older Adults in Germany: National Survey","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Medicine; mHealth; Odds ratio; Gerontology; Health care; National Health Interview Survey; Smartphone app; Family medicine; Environmental health; Psychological intervention; Population; Nursing; World Wide Web","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"],"consensus_categories":[],"category_scores_codex":[0.008125467,0.0003787472,0.0009142227,0.0005936397,0.001406191,0.00001201953,0.0003296518,0.0004299594,0.0002883521],"category_scores_gemma":[0.0006552998,0.0003680399,0.00005775677,0.001094393,0.0004479914,0.0003722584,0.0001413921,0.001162872,0.0001194559],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487168,"about_ca_system_score_gemma":0.006217318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635464,"about_ca_topic_score_gemma":0.01150049,"domain_scores_codex":[0.9907479,0.002520652,0.003008178,0.0009794534,0.0007477995,0.00199606],"domain_scores_gemma":[0.9935474,0.001575776,0.001763652,0.000666125,0.0009683867,0.001478696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003930104,0.0003693882,0.9481005,0.01535853,0.000004972056,5.424286e-7,0.003991678,8.147705e-7,0.000001137451,0.00292501,0.01280937,0.01604506],"study_design_scores_gemma":[0.002381531,0.0003876256,0.9884386,0.001305241,0.000006952,0.000002670438,0.0003591318,0.0003981243,9.62576e-7,0.0002643758,0.006235151,0.0002196506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857481,0.001743636,0.0002046863,0.00257667,0.0006002869,0.007545002,0.0005305628,0.0001516159,0.0008994609],"genre_scores_gemma":[0.9820176,0.004935526,0.000585569,0.007676737,0.0004185929,0.003438872,0.0001323249,0.00006071947,0.0007340526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0403381,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032760550517432,"score_gpt":0.4689339692254772,"score_spread":0.3656579141737341,"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."}}