{"id":"W1488783403","doi":"10.18438/b8cp6b","title":"Public Library Training Program for Older Adults Addresses Their Computer and Health Literacy Needs","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"The Internet; Computer literacy; Health literacy; Medical education; Intervention (counseling); Demographics; Scale (ratio); Anxiety; Medicine; Gerontology; Psychology; Family medicine; Health care; Nursing; Computer science; World Wide Web; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0009802729,0.000162235,0.0001802593,0.0003221245,0.0006711115,0.001124185,0.0002422414,0.0001529087,0.00009132591],"category_scores_gemma":[0.0006959997,0.0001440041,0.00003697874,0.0006529844,0.0002035113,0.3611547,0.000115732,0.0002331159,0.000007872493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000103898,"about_ca_system_score_gemma":0.0004575677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001327028,"about_ca_topic_score_gemma":2.47313e-7,"domain_scores_codex":[0.9984358,0.0003053944,0.0004086386,0.0001488552,0.0001993801,0.0005019384],"domain_scores_gemma":[0.9970132,0.001992257,0.0004217531,0.0001812187,0.00006549978,0.000326052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009402545,0.00008262017,0.003992153,0.0002158608,0.00001337269,2.159183e-7,0.03750573,5.440994e-7,1.585103e-7,0.1077694,0.006458439,0.8438675],"study_design_scores_gemma":[0.0005954995,0.000229695,0.02287362,0.0006062093,0.00001020404,0.00001219046,0.01461973,0.001364573,0.00004480034,0.0001343289,0.9593053,0.0002038115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04994057,0.009578555,0.0110595,0.9167516,0.0007446564,0.00426572,0.00007304796,0.002616701,0.004969642],"genre_scores_gemma":[0.8577008,0.003116405,0.06750823,0.07077082,0.0004145992,0.0002648589,0.0001261429,0.00001844403,0.00007970559],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9528469,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05192599842524361,"score_gpt":0.3266901783293459,"score_spread":0.2747641799041023,"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."}}