{"id":"W4412156972","doi":"10.1177/08404704251356518","title":"Incorporating digital health into organizational health literacy: An updated definition, tools, and recommendations","year":2025,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Health literacy; Health care; Digital health; Literacy; Information literacy; Public relations; Health informatics; Digital literacy; Knowledge management; Health policy; Computer science; Psychology; Political science; World Wide Web; Pedagogy","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002561279,0.000307823,0.000488829,0.0005794846,0.004546248,0.0003005552,0.0002946419,0.000168032,0.0003296866],"category_scores_gemma":[0.0001569778,0.0003078117,0.00004228475,0.001403145,0.00007376158,0.003571159,0.0004587457,0.0007316399,0.0001218703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000961433,"about_ca_system_score_gemma":0.001627401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007948117,"about_ca_topic_score_gemma":0.0008922546,"domain_scores_codex":[0.994041,0.001014699,0.00297953,0.0006328817,0.0003479254,0.0009839291],"domain_scores_gemma":[0.9966794,0.0002183854,0.001198599,0.0006465575,0.0006618033,0.000595204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004890282,0.0001394445,0.1302796,0.003268453,0.00002319841,6.803929e-7,0.003886485,0.00000201134,1.063616e-7,0.4255288,0.06423294,0.3725893],"study_design_scores_gemma":[0.002316219,0.0004076411,0.103793,0.00177361,0.00001175631,0.000003186466,0.02643767,0.002799117,7.519601e-7,0.1153955,0.7465405,0.0005210091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01424147,0.001206137,0.1088022,0.838185,0.002504701,0.007457642,0.001606931,0.001271099,0.02472479],"genre_scores_gemma":[0.6669355,0.0006808527,0.05003253,0.2556137,0.0001613988,0.0004489178,0.0245549,0.0000559274,0.001516293],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6823076,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256855083030586,"score_gpt":0.420815582931344,"score_spread":0.3782470321010381,"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."}}