{"id":"W4410616573","doi":"10.2196/65345","title":"Digital Health Literacy in Adults With Low Reading and Writing Skills Living in Germany: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health literacy; Digital health; Focus group; Literacy; Reading (process); Medical education; Psychology; eHealth; Stakeholder; Documentation; Health care; Medicine; Computer science; Pedagogy; Sociology; Public relations; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003751199,0.0002457906,0.0005515083,0.0007604215,0.0007388995,0.000141299,0.0001878395,0.0001399643,0.00007175446],"category_scores_gemma":[0.0004548848,0.0001983211,0.00002990454,0.0007975577,0.00004416087,0.002280225,0.0002191076,0.001059401,0.000007384884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004687679,"about_ca_system_score_gemma":0.000310605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004650777,"about_ca_topic_score_gemma":0.0006411221,"domain_scores_codex":[0.9950572,0.001458728,0.002128329,0.0004344221,0.0002107385,0.000710544],"domain_scores_gemma":[0.9968364,0.001917357,0.0005579874,0.0003593177,0.0001316243,0.0001973603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003079446,0.0003100245,0.8305035,0.001458163,0.000005098459,0.000001682473,0.1238128,0.000001083591,0.000001721741,0.0001099359,0.00005235717,0.04371287],"study_design_scores_gemma":[0.001175348,0.0001338474,0.9581302,0.006006609,0.000001477516,2.377537e-7,0.03347719,0.000286878,0.000002185425,0.00006553507,0.0005558921,0.0001645748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939834,0.00004636277,0.000302139,0.0001230807,0.0001647672,0.002520326,0.00001636131,0.00009847914,0.002745045],"genre_scores_gemma":[0.997499,0.00000644367,0.0007856063,0.0009073053,0.00003616524,0.0002631127,0.00003104778,0.00001751839,0.0004537668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1276267,"threshold_uncertainty_score":0.8087299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504216665758262,"score_gpt":0.4908640680273353,"score_spread":0.4658219013697527,"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."}}