{"id":"W2126335261","doi":"10.2196/mhealth.4924","title":"Health App Use Among US Mobile Phone Owners: A National Survey","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1428,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Verizon Foundation","keywords":"Mobile phone; mHealth; Phone; Internet privacy; National Health and Nutrition Examination Survey; Population; Medicine; Mobile apps; Gerontology; Environmental health; Psychology; Psychological intervention; World Wide Web; Computer science; Nursing","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":[0.000870066,0.000153296,0.000226375,0.000868547,0.0003406894,0.0005057279,0.0003428869,0.0006085815,0.001321723],"category_scores_gemma":[0.002522436,0.0003681198,0.0003238503,0.001412553,0.0002552076,0.001135756,0.0005331757,0.0006453484,0.0004882091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808948,"about_ca_system_score_gemma":0.00041408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791739,"about_ca_topic_score_gemma":0.02820935,"domain_scores_codex":[0.9994416,0.0001547572,0.0001049965,0.00008698514,0.0001545546,0.00005724621],"domain_scores_gemma":[0.9976721,0.0004333512,0.001031999,0.0001265888,0.0004277665,0.000308091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000124153,0.0000458717,0.9977748,0.00001923053,0.00001622832,0.00002750338,0.0002459348,0.00001226951,0.00008232697,0.000005712499,0.0004272931,0.00133036],"study_design_scores_gemma":[0.000002227904,0.00005218896,0.9987238,0.00001985641,0.000009505756,0.00009211279,0.0006665838,0.00007394838,0.00002910193,0.000006127166,0.0003218936,0.000002515975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955301,0.0002268839,0.00009363302,0.0002316953,0.000006705701,0.00003694543,0.003029976,0.000008599417,0.0008354442],"genre_scores_gemma":[0.9965275,0.0004065614,0.0002318591,0.0003844867,0.00001078329,0.00007713693,0.002046253,0.000004075216,0.0003112199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01791739,"threshold_uncertainty_score":0.03562623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902892630288067,"score_gpt":0.4883951178436031,"score_spread":0.2981058548147963,"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."}}