{"id":"W2788491817","doi":"10.2196/diabetes.8934","title":"Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes)","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Pew Charitable Trusts","keywords":"Ethnic group; Cross-sectional study; Medicine; Type 2 diabetes; Diabetes management; Intervention (counseling); Gerontology; Diabetes mellitus; Disease management; Disease; Family medicine; Health management system; Alternative medicine; Nursing; Internal medicine; Pathology","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":[0.002292051,0.0002041432,0.000302924,0.0008375607,0.0003482296,0.000652592,0.000292388,0.0004958393,0.0007813702],"category_scores_gemma":[0.004097593,0.0002772496,0.0005594229,0.0009627403,0.000206978,0.0004569412,0.0006166694,0.0005657592,0.0001824504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112117,"about_ca_system_score_gemma":0.0002588259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005699386,"about_ca_topic_score_gemma":0.007140405,"domain_scores_codex":[0.9989305,0.0005406215,0.0001411396,0.0001170566,0.0001870287,0.00008358291],"domain_scores_gemma":[0.9969169,0.0006818019,0.001519282,0.0002071283,0.0003061389,0.0003687315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004755059,0.00005816927,0.9990964,0.000006293044,0.00004302533,0.000008411656,0.0001274004,0.00001106512,0.00006434528,0.000003051181,0.0000336489,0.0005005453],"study_design_scores_gemma":[0.000005398975,0.00009406821,0.9992313,0.000004656365,0.00001876798,0.00003903593,0.0004002889,0.0001048821,0.00002774405,0.000003623342,0.00006792117,0.000002344666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999465,0.00005644015,0.00004826882,0.00002481502,0.000002444406,0.00001316927,0.0002456688,0.000001061204,0.0001430462],"genre_scores_gemma":[0.9993044,0.00006591877,0.0001047655,0.00003246931,0.000005132175,0.00002707384,0.0003862627,0.000001078723,0.00007295937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005699386,"threshold_uncertainty_score":0.01212168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3172307145032201,"score_gpt":0.460332106094026,"score_spread":0.1431013915908059,"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."}}