{"id":"W4297459794","doi":"10.2196/36714","title":"Comparing Transactional eHealth Literacy of Individuals With Cancer and Surrogate Information Seekers: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; Clinical and Translational Science Institute, University of Florida; University of Florida","keywords":"eHealth; Cancer; Health literacy; Seekers; Literacy; Psychology; Medicine; Thematic analysis; Qualitative research; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01490572,0.0005798581,0.001373355,0.00308717,0.001733533,0.001927152,0.001183802,0.001100148,0.003822081],"category_scores_gemma":[0.02453593,0.0006743544,0.002089361,0.002955239,0.001004572,0.002193189,0.002146111,0.0009092128,0.0005315575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597694,"about_ca_system_score_gemma":0.001964254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187252,"about_ca_topic_score_gemma":0.00931142,"domain_scores_codex":[0.9879162,0.006859544,0.00190317,0.001252959,0.001422182,0.0006459222],"domain_scores_gemma":[0.9817281,0.009676509,0.004054602,0.001403308,0.002527121,0.0006102277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001797917,0.003799903,0.8896533,0.003707726,0.00211382,0.0005242415,0.04918823,0.0001722441,0.0008943979,0.001034447,0.001290693,0.04582314],"study_design_scores_gemma":[0.0006731343,0.01003095,0.8484458,0.003067993,0.002018529,0.001079722,0.1196316,0.002715264,0.001811488,0.00152504,0.008802034,0.0001984205],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910166,0.001383412,0.002454625,0.0001515081,0.00002763127,0.00292029,0.0008246566,0.00001302573,0.001208183],"genre_scores_gemma":[0.9781822,0.0008245854,0.007571124,0.0006689341,0.00004376215,0.01108217,0.0007500036,0.00001643704,0.0008607908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01490572,"threshold_uncertainty_score":0.07882994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630406515902319,"score_gpt":0.5983429182754875,"score_spread":0.4353022666852556,"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."}}