{"id":"W4405393667","doi":"10.1093/geront/gnae170","title":"Successful Aging Across Middle Versus High-Income Countries: An Analysis of the Role of eHealth Literacy Associated With Loneliness and Well-Being","year":2024,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Open University","keywords":"Loneliness; eHealth; Literacy; Psychology; Gerontology; Low and middle income countries; Medicine; Economics; Social psychology; Developing country; Economic growth; Health care; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003929763,0.0001802954,0.0005588076,0.0001108508,0.001039221,0.00007104422,0.0004686639,0.0001632272,0.0001498348],"category_scores_gemma":[0.0004156108,0.00009202705,0.00008051822,0.001115847,0.0004521261,0.0009048755,0.0001749922,0.000570042,0.000006517956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170667,"about_ca_system_score_gemma":0.000351402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008408536,"about_ca_topic_score_gemma":0.008903253,"domain_scores_codex":[0.9964253,0.001030867,0.00139969,0.0002722541,0.0003564595,0.0005154662],"domain_scores_gemma":[0.9956653,0.002167288,0.0008961846,0.0006910233,0.0004775975,0.0001026381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004458759,0.00004783997,0.9202037,0.001227204,0.000344062,0.000001002024,0.0700367,0.0002276843,0.000003725024,0.004966948,0.00001876559,0.002476453],"study_design_scores_gemma":[0.001050679,0.00012535,0.9264482,0.001117627,0.0004130417,7.248286e-7,0.01747522,0.04982564,0.00005676143,0.000558898,0.002750368,0.0001775367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953541,0.0009614831,0.0003775978,0.001118211,0.0005085809,0.0005221748,0.0002000897,0.00008594221,0.0008718831],"genre_scores_gemma":[0.99902,0.00007859042,0.00008249986,0.0004953166,0.00006638881,0.00003919058,0.00006489002,0.00001253781,0.0001406203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05256148,"threshold_uncertainty_score":0.9981946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127849754040983,"score_gpt":0.4131748127672116,"score_spread":0.3818963152268017,"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."}}