{"id":"W3165036571","doi":"10.3233/shti210318","title":"A User Experience and eHealth Literacy Inspection of a Lab Test Interpretation Mobile App for Citizens","year":2021,"lang":"en","type":"book-chapter","venue":"Studies in health technology and informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Douglas College; University of Victoria","funders":"","keywords":"Usability; Mobile apps; Checklist; eHealth; Literacy; Internet privacy; Health literacy; Computer science; Test (biology); World Wide Web; Strengths and weaknesses; Smartphone app; Multimedia; Psychology; Human–computer interaction; Health care; Pedagogy; Political science; Social 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":[0.001479996,0.0003298384,0.0002611002,0.0006172324,0.0007805865,0.00135998,0.000407269,0.0006458065,0.004701558],"category_scores_gemma":[0.005236211,0.0001731554,0.0002099305,0.0004606669,0.0004699986,0.001330754,0.0008230064,0.0005978776,0.001335751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687019,"about_ca_system_score_gemma":0.0002982222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239908,"about_ca_topic_score_gemma":0.002673818,"domain_scores_codex":[0.9993476,0.0003151835,0.00003679761,0.00005374473,0.0001928368,0.00005369893],"domain_scores_gemma":[0.9951487,0.004012599,0.000122746,0.0001365997,0.0004734778,0.0001058112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005158156,0.001733953,0.08072389,0.001757786,0.00003034243,0.0134468,0.3649237,0.0005737062,0.04196343,0.002643978,0.04557709,0.4461095],"study_design_scores_gemma":[0.00009311562,0.009848489,0.4007834,0.002446752,0.0002160734,0.03218566,0.1963775,0.01172243,0.04175816,0.002425223,0.301687,0.0004561411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689581,0.0004417929,0.005921117,0.0006931279,0.00004653844,0.000273592,0.000233,0.0005951276,0.02283758],"genre_scores_gemma":[0.9488047,0.0005142704,0.01445465,0.001027709,0.00003645694,0.000310859,0.0004862366,0.0003396055,0.03402549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004701558,"threshold_uncertainty_score":0.01572829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300693397013351,"score_gpt":0.445038126571078,"score_spread":0.4020311926009445,"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."}}