{"id":"W2017928172","doi":"10.7326/m13-3012","title":"Comparison of Community Health Worker–Led Diabetes Medication Decision-Making Support for Low-Income Latino and African American Adults With Diabetes Using E-Health Tools Versus Print Materials","year":2014,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Diabetes Management and Education","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality","keywords":"Medicine; Helpfulness; Family medicine; Diabetes mellitus; Community health; Community health center; Randomized controlled trial; Health care; Population; Gerontology; Distress; Public health; Nursing; Environmental health; Clinical psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002556373,0.0002186869,0.001250956,0.0003077618,0.000109651,0.00001594916,0.0002065088,0.00003973956,0.00003702351],"category_scores_gemma":[0.001724471,0.0001622103,0.00005364673,0.00025578,0.0004216543,0.0001217201,0.00008622826,0.0001802631,6.844712e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006618242,"about_ca_system_score_gemma":0.0001120428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000521859,"about_ca_topic_score_gemma":0.00009201471,"domain_scores_codex":[0.9975861,0.0002288217,0.001100702,0.0002166949,0.000457025,0.0004107074],"domain_scores_gemma":[0.9957278,0.001583531,0.001668244,0.000418573,0.0003633321,0.0002385666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003336273,0.0005793382,0.4769768,0.003142131,0.0004209911,2.201486e-7,0.006640133,0.00001692714,0.001611738,0.000182897,0.00140203,0.5056906],"study_design_scores_gemma":[0.005360432,0.02223338,0.9281616,0.02305231,0.000203749,9.376086e-7,0.007975523,0.002846658,0.009029674,0.000308736,0.0005724799,0.0002544906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992788,0.0001857771,0.001811034,0.003892606,0.0003463336,0.0007697244,0.00001677851,0.00003431548,0.0001554633],"genre_scores_gemma":[0.9942582,0.00005085418,0.003931837,0.001398671,0.0002091317,0.0000302921,0.00008045938,0.00003376744,0.000006837427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5054361,"threshold_uncertainty_score":0.6614745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07154337707634623,"score_gpt":0.4192005468982706,"score_spread":0.3476571698219244,"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."}}