{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003166384,0.0007408349,0.0006014176,0.000675555,0.001576947,0.0006069674,0.0006415002,0.0008187661,0.00259682],"category_scores_gemma":[0.002608269,0.0005249998,0.0008935304,0.0003707102,0.0005735485,0.0006781093,0.001085278,0.0008255391,0.0003325729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009561782,"about_ca_system_score_gemma":0.006119677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329057,"about_ca_topic_score_gemma":0.02572022,"domain_scores_codex":[0.9987758,0.0005461668,0.0000967836,0.00008488787,0.0001718985,0.0003243958],"domain_scores_gemma":[0.9988212,0.0002373658,0.0001429471,0.00005987781,0.0002377244,0.0005007879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.02834218,0.3937492,0.2461803,0.003346412,0.0008152686,0.002145164,0.02023145,0.0006575579,0.01577166,0.0003916647,0.004214851,0.2841544],"study_design_scores_gemma":[0.03373892,0.2241084,0.7112364,0.0006546907,0.000763767,0.0003254459,0.01921355,0.001711908,0.002556792,0.0002256653,0.005341297,0.0001233156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916292,0.0000600178,0.0001463812,0.0002006013,0.00002314753,0.007086763,0.0001266276,0.00001193069,0.0007153268],"genre_scores_gemma":[0.9693305,0.0004041354,0.003173147,0.0009640069,0.00008617926,0.0247961,0.0003520957,0.000007419525,0.0008862518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01329057,"threshold_uncertainty_score":0.02642643,"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."}}