{"id":"W2574256239","doi":"10.2196/humanfactors.6523","title":"Perceived and Performed eHealth Literacy: Survey and Simulated Performance Test","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Health literacy; Literacy; Psychology; Conceptualization; The Internet; Medical education; Medicine; Computer science; Health care; World Wide Web; Pedagogy; Political science; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001999905,0.0002680125,0.0004154987,0.0001512277,0.006903162,0.0002371542,0.0003254355,0.0002793073,0.0006193877],"category_scores_gemma":[0.001160054,0.0002065136,0.0000309179,0.00008036918,0.0002406751,0.002752289,0.0002551538,0.0009026742,0.00008172335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311565,"about_ca_system_score_gemma":0.0002121456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334548,"about_ca_topic_score_gemma":0.0003819217,"domain_scores_codex":[0.9971316,0.0003771881,0.001183855,0.0003754414,0.0002571994,0.0006747412],"domain_scores_gemma":[0.9965684,0.0009309503,0.000854667,0.0007729054,0.000390304,0.0004827353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003986873,0.00004076315,0.9791372,0.0007854345,0.000004859633,2.843708e-7,0.01633427,3.268246e-7,0.00002670597,0.00001962835,0.0003571382,0.003253454],"study_design_scores_gemma":[0.001074262,0.0001605438,0.9887081,0.000215056,0.000003717393,5.657401e-7,0.0004420078,0.002489326,0.000005894775,0.00002773403,0.006649581,0.0002232296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956311,0.00002697396,0.000002685079,0.0001538116,0.0002679133,0.001163198,0.0001306887,0.0001120196,0.002511631],"genre_scores_gemma":[0.9972817,0.00008994625,0.00004085541,0.0008143802,0.0001073188,0.000039218,0.00019452,0.00002306626,0.00140903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01589227,"threshold_uncertainty_score":0.9943897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09797774413986071,"score_gpt":0.4806638054336244,"score_spread":0.3826860612937636,"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."}}