{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008116381,0.0001942924,0.0002527175,0.001297681,0.0001904382,0.0004439743,0.0002340238,0.0003401525,0.001070579],"category_scores_gemma":[0.001213077,0.0001870638,0.0003636765,0.001307799,0.0001814126,0.0005461809,0.0005560989,0.0002121475,0.0002843262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734502,"about_ca_system_score_gemma":0.0003160061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366098,"about_ca_topic_score_gemma":0.01334429,"domain_scores_codex":[0.9995111,0.00009215323,0.0001047038,0.00009433804,0.0001236196,0.00007396851],"domain_scores_gemma":[0.9990778,0.0001289472,0.0004937567,0.00005466866,0.0001114975,0.0001332942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004280868,0.00003624083,0.995967,0.0000574092,0.00004112707,0.00005044687,0.0002430085,0.00002623061,0.0002066549,0.00001749266,0.0003542762,0.00295718],"study_design_scores_gemma":[0.000001351076,0.00002326496,0.9995622,0.000006253444,0.00001003873,0.00004359148,0.0001336888,0.00003362824,0.00002508518,0.000002548854,0.000156923,0.000001404318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965837,0.0002698961,0.00006021489,0.00005148783,0.000003575883,0.0000179687,0.002598343,0.000006278187,0.0004085478],"genre_scores_gemma":[0.9974963,0.0003349907,0.0001491926,0.00005308393,0.000006031566,0.00003412738,0.001649966,0.000001336334,0.0002749609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01366098,"threshold_uncertainty_score":0.02716291,"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."}}