{"id":"W4412948480","doi":"10.1007/978-3-031-87031-6_10","title":"Staying Connected and the Digital Divide","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on technology and health","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital divide; Computer science; World Wide Web; The Internet","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":[0.0008417182,0.0003662282,0.0003697265,0.001314187,0.002660308,0.008236273,0.0006176261,0.002556537,0.03872048],"category_scores_gemma":[0.00187963,0.0001252959,0.0002562203,0.002148363,0.006343462,0.01324776,0.004485569,0.002681764,0.003054635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991364,"about_ca_system_score_gemma":0.001786219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219193,"about_ca_topic_score_gemma":0.003820288,"domain_scores_codex":[0.9995213,0.0001508869,0.00001920107,0.00007372291,0.0001303533,0.0001046184],"domain_scores_gemma":[0.9991857,0.00045351,0.0000589826,0.00006044459,0.0000524202,0.000188886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002928809,0.00004000894,0.0002088222,0.00018326,0.00000364522,0.0001075792,0.01049694,0.00005061633,0.0001580822,0.8144859,0.08844583,0.08579005],"study_design_scores_gemma":[0.000007875808,0.00002398718,0.0007123177,0.0003507938,0.000003659281,0.0001485502,0.007675985,0.00005086631,0.00008610028,0.1382276,0.8527064,0.000005696151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008623027,0.07755139,0.0009694553,0.04324201,0.003424808,0.00001815958,0.00007551691,0.00003958175,0.866056],"genre_scores_gemma":[0.2870458,0.08371808,0.001128908,0.01276471,0.006159867,0.0001007846,0.0001694593,0.00008240691,0.6088301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03872048,"threshold_uncertainty_score":0.1295329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763001114957507,"score_gpt":0.2855941942047634,"score_spread":0.2679641830551883,"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."}}