{"id":"W4225815552","doi":"10.2196/37737","title":"A Social Media–Based Diabetes Intervention for Low-Income Mandarin-Speaking Chinese Immigrants in the United States: Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Diabetes Management and Education","field":"Medicine","cited_by":27,"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 Institute on Aging; U.S. Department of Health and Human Services; National Institutes of Health; American Diabetes Association","keywords":"Medicine; Immigration; Intervention (counseling); Gerontology; Population; Type 2 diabetes; Descriptive statistics; Family medicine; Diabetes mellitus; Demography; Environmental health; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007155572,0.0001341779,0.0002460406,0.0008987822,0.0006613334,0.00009953292,0.0003304315,0.00002721124,0.0001356409],"category_scores_gemma":[0.0003552112,0.00009425098,0.0001291075,0.001925612,0.0001072886,0.0002259784,0.0002202377,0.0005897854,0.000009886224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851825,"about_ca_system_score_gemma":0.00006685265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001724321,"about_ca_topic_score_gemma":0.0002937651,"domain_scores_codex":[0.9967262,0.001073666,0.0003893167,0.0002377431,0.001061972,0.0005110609],"domain_scores_gemma":[0.9984346,0.0008689072,0.0001074547,0.0002650881,0.0002732568,0.00005070903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001385739,0.009251206,0.7333994,0.001181211,0.0001225066,0.000007337742,0.2415443,0.00004867094,0.00003314206,0.0001256807,0.003005753,0.009895019],"study_design_scores_gemma":[0.004788077,0.001496519,0.8899495,0.00007635578,0.0000171966,1.580872e-7,0.0938252,0.008081436,0.00001633716,0.001071403,0.0005822072,0.00009562732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942316,0.00001949036,0.00003406312,0.001508293,0.000136068,0.003832518,0.00003569414,0.00003082903,0.0001714571],"genre_scores_gemma":[0.9957107,0.000001120788,0.00000858181,0.0001297539,0.0000910939,0.003163293,0.0008249228,0.00001681884,0.00005373656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565501,"threshold_uncertainty_score":0.5086509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802063318732088,"score_gpt":0.4490417508968245,"score_spread":0.3688354190236157,"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."}}