{"id":"W4406203659","doi":"10.1097/cin.0000000000001243","title":"Influence of Digital Health Literacy on Blood Pressure and Hemoglobin A1c in Patients With Comorbid Type 2 Diabetes and Hypertension","year":2025,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Health literacy; Digital health; Medicine; Literacy; Health care; Type 2 diabetes; Blood pressure; Disease management; Diabetes mellitus; Disease; Family medicine; Gerontology; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008092264,0.0001125587,0.0002651876,0.0003297117,0.0003483949,0.0008590753,0.000131831,0.0003849946,0.002526622],"category_scores_gemma":[0.007770232,0.0001686257,0.0004756284,0.0005010558,0.0002392339,0.0004342267,0.000541246,0.0008285495,0.0001709248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815303,"about_ca_system_score_gemma":0.0004708379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004557701,"about_ca_topic_score_gemma":0.006930393,"domain_scores_codex":[0.9993807,0.0002823193,0.00006742455,0.00006219478,0.00009784772,0.000109556],"domain_scores_gemma":[0.9958313,0.002017471,0.001218766,0.0001346644,0.0001768785,0.0006209082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002475013,0.0002953224,0.9963148,0.00001120061,0.00005676532,0.00003863258,0.0001733176,0.00004932881,0.00004027157,0.00001947103,0.00008039728,0.002673038],"study_design_scores_gemma":[0.00002636479,0.0003687096,0.9983686,0.00001794509,0.00005787797,0.00009251299,0.0004307953,0.0004191325,0.00004037791,0.00004271962,0.0001292489,0.000005753624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993433,0.00007896654,0.00001890796,0.00005721073,0.000003580475,0.000004598478,0.00003617659,8.314456e-7,0.0004563626],"genre_scores_gemma":[0.9997572,0.00004356957,0.00002902339,0.00003355832,0.000004861015,0.000004582477,0.00003122656,3.52295e-7,0.00009550089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004557701,"threshold_uncertainty_score":0.00906235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178400976916698,"score_gpt":0.3344807873655899,"score_spread":0.3226967775964229,"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."}}