{"id":"W4225404388","doi":"10.2196/34764","title":"Bridging Connectivity Issues in Digital Access and Literacy: Reflections on Empowering Vulnerable Older Adults in Singapore","year":2022,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Singapore General Hospital; Info-communications Media Development Authority; Duke-NUS Medical School","keywords":"Bridging (networking); Literacy; Digital divide; Digital literacy; Adult literacy; Public relations; Medical education; Political science; Psychology; Computer science; Pedagogy; Medicine; Computer security; The Internet; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0005742942,0.0001241281,0.0001774551,0.0004841447,0.0008835177,0.0003291217,0.0002652936,0.00006009171,0.00005216787],"category_scores_gemma":[0.0002742721,0.0001514458,0.00002662424,0.000969245,0.0001010295,0.001167955,0.0003112745,0.000706821,0.000002231393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347835,"about_ca_system_score_gemma":0.00005732266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003616552,"about_ca_topic_score_gemma":0.004551739,"domain_scores_codex":[0.9985604,0.0001489751,0.0001980516,0.000432312,0.0002463232,0.0004139594],"domain_scores_gemma":[0.9994909,0.0001886112,0.00007205883,0.0001710141,0.00002735382,0.00005006364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006498596,0.0004276393,0.6681438,0.00005001036,0.00001108277,0.0001915674,0.2274212,0.0005450828,0.0001427143,0.001985802,0.0004786467,0.1005375],"study_design_scores_gemma":[0.00469884,0.0002443045,0.8350401,0.001936429,0.0000102651,0.00005648921,0.09309711,0.005817052,0.0009534167,0.009839223,0.04671935,0.001587448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884767,0.0001246749,0.00003019659,0.003321915,0.0001894948,0.000407775,0.000006956185,0.0002588091,0.007183475],"genre_scores_gemma":[0.9991568,0.00001517514,0.00004006032,0.0001669288,0.00006184635,0.0001678157,0.000004345039,0.00001722165,0.0003697468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1668963,"threshold_uncertainty_score":0.6795393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197323731125595,"score_gpt":0.3759901525981579,"score_spread":0.354016915286902,"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."}}