{"id":"W3089119265","doi":"10.2196/18404","title":"Relationships Between Mobile eHealth Literacy, Diabetes Self-care, and Glycemic Outcomes in Taiwanese Patients With Type 2 Diabetes: Cross-sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; mHealth; Medicine; Health literacy; Type 2 diabetes; Psychological intervention; Population; Cross-sectional study; Health Information National Trends Survey; Health care; Glycemic; Gerontology; Telemedicine; Diabetes mellitus; Family medicine; Nursing; Health information; Environmental health","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":[0.001275391,0.0002335087,0.0003315086,0.0007761791,0.0006442121,0.000704778,0.0002833898,0.0005733119,0.001479608],"category_scores_gemma":[0.002394406,0.0003269493,0.0005477935,0.001032021,0.0003012507,0.0006277257,0.000556563,0.001016828,0.0001986019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005092123,"about_ca_system_score_gemma":0.0005487911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009601233,"about_ca_topic_score_gemma":0.01319494,"domain_scores_codex":[0.9994459,0.0001461711,0.0001088808,0.0001179082,0.00009406884,0.00008702651],"domain_scores_gemma":[0.998359,0.0003627155,0.000668596,0.0001049137,0.00020625,0.0002984192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002560355,0.0001015239,0.9991956,0.000009547505,0.00002989652,0.00002821786,0.0001538235,0.00000815435,0.00003804055,0.000004527876,0.00004295269,0.0003621648],"study_design_scores_gemma":[0.00001164194,0.0001949756,0.9985868,0.0000108874,0.00004506828,0.0001149156,0.0007359739,0.0001488834,0.00003124878,0.000009249602,0.0001054683,0.000004829782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994344,0.0001032188,0.00003374511,0.00005266884,0.000003176665,0.00001636571,0.0001733091,0.000001229954,0.0001818206],"genre_scores_gemma":[0.9994709,0.00006267192,0.00007463079,0.00007608657,0.00000729093,0.0000300483,0.0001883599,6.610213e-7,0.00008945008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009601233,"threshold_uncertainty_score":0.01909071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06446401579976335,"score_gpt":0.4413592637546942,"score_spread":0.3768952479549308,"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."}}