{"id":"W2254155408","doi":"10.34105/j.kmel.2015.07.036","title":"eHealth literacy issues, constructs, models, and methods for health information technology design and evaluation","year":2015,"lang":"en","type":"article","venue":"Knowledge Management & E-Learning An International Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"eHealth; Health literacy; Literacy; Usability; Information literacy; Computer science; Knowledge management; Medical education; Public relations; Health care; Medicine; Psychology; World Wide Web; Political science; Pedagogy; Human–computer interaction","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":[0.1427242,0.001701219,0.002395125,0.009181141,0.001951154,0.01421916,0.002809525,0.004943218,0.006217266],"category_scores_gemma":[0.2305464,0.001450976,0.003102282,0.01174835,0.006235433,0.01064261,0.005115702,0.005152921,0.0008672642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009459504,"about_ca_system_score_gemma":0.01345225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004641423,"about_ca_topic_score_gemma":0.003195182,"domain_scores_codex":[0.770101,0.2037287,0.009131879,0.00251535,0.01334518,0.001177921],"domain_scores_gemma":[0.7232917,0.251319,0.007417734,0.007330336,0.009605506,0.001035782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006051097,0.001031124,0.005630115,0.01360298,0.0006968916,0.0001298659,0.005968341,0.01106299,0.0008109082,0.5169622,0.006950543,0.436549],"study_design_scores_gemma":[0.001057963,0.003438385,0.008379976,0.03465014,0.001506653,0.0003258085,0.01016789,0.06834553,0.003718305,0.7638903,0.1041099,0.0004092859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01464752,0.05082697,0.8626913,0.01193971,0.000929967,0.02735274,0.001690515,0.0006110431,0.02931021],"genre_scores_gemma":[0.1000938,0.01736353,0.8108197,0.001342844,0.0002486388,0.06735422,0.0006032131,0.000117149,0.002056945],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1427242,"threshold_uncertainty_score":0.7548066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099638643362088,"score_gpt":0.544900943243275,"score_spread":0.4349370789070662,"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."}}