{"id":"W4205520191","doi":"10.2196/27355","title":"Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions Among Low-Income Older Chinese Immigrants With Type 2 Diabetes: Cross-sectional Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Psychological intervention; mHealth; Medicine; Immigration; Cross-sectional study; Gerontology; Type 2 diabetes; Nursing; Diabetes mellitus; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.002182076,0.0003254031,0.0006197848,0.0003259939,0.001015623,0.00009392219,0.0002104124,0.0001398988,0.0002669019],"category_scores_gemma":[0.0002524738,0.0002713052,0.00007785301,0.001351609,0.0001046408,0.0004147531,0.0002539647,0.00134211,0.00006083007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004148318,"about_ca_system_score_gemma":0.0009653438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002235894,"about_ca_topic_score_gemma":0.07421104,"domain_scores_codex":[0.9949632,0.001505344,0.001413338,0.0008414596,0.0002617429,0.001014946],"domain_scores_gemma":[0.996792,0.0009220744,0.0005208862,0.0006133805,0.0005632376,0.0005884919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004808215,0.000962076,0.9908709,0.002305886,0.00002557424,0.000004743316,0.002326026,0.00003926927,0.000003657437,0.00001857288,0.0001667421,0.00322849],"study_design_scores_gemma":[0.0018386,0.000383516,0.9924895,0.001825187,0.000007187144,0.000002170885,0.001856539,0.0001420003,9.767589e-7,0.00002241312,0.001204612,0.0002273585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873062,0.00323201,0.00006955868,0.00004015035,0.0007055572,0.008369984,0.0001274413,0.0001207706,0.00002836961],"genre_scores_gemma":[0.9724908,0.0004507659,0.00007222648,0.0003947225,0.000150561,0.02569628,0.0003416321,0.00005928068,0.0003437512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07197514,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052030188792787,"score_gpt":0.4741457041828515,"score_spread":0.3689426853035728,"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."}}