{"id":"W1488361913","doi":"10.15353/joci.v8i1.3069","title":"Ageing, Vision Impairment and Digital Inclusion in Ireland","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Digital inclusion; Visual impairment; Population ageing; Digital divide; Ageing; Gerontology; Inclusion (mineral); Competence (human resources); Older people; Population; Psychology; Medicine; Computer science; The Internet; Social psychology; Environmental health; Psychiatry; 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":[0.004339627,0.00005589415,0.0001129152,0.0001169047,0.0008971267,0.00004920633,0.0005122432,0.00007231416,0.000006867126],"category_scores_gemma":[0.0003191011,0.00003576593,0.00002183639,0.0001507976,0.0002547036,0.001540358,0.001078331,0.0006870763,0.00000421421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008177609,"about_ca_system_score_gemma":0.00003931622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002031444,"about_ca_topic_score_gemma":0.0002752971,"domain_scores_codex":[0.9988289,0.0003138164,0.0003709723,0.00000345555,0.0003053361,0.0001774577],"domain_scores_gemma":[0.9989967,0.0004121997,0.0003064722,0.0001564642,0.00005728631,0.00007083746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002401933,0.0001370801,0.01064004,0.00001409564,0.000008776022,3.339264e-7,0.9633194,0.00001189776,0.00001134874,0.0002228712,0.001330478,0.02427968],"study_design_scores_gemma":[0.001523663,0.0005407289,0.1471443,0.0003124029,0.00003621399,0.0001391978,0.788947,0.00007700312,0.0001111975,0.00761647,0.05336823,0.0001836172],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941726,0.0003187775,0.00006015069,0.001860134,0.00007749488,0.00008090012,9.343078e-7,0.00001288784,0.003416116],"genre_scores_gemma":[0.9989913,0.000600396,0.00006944804,0.0002912162,0.00002613659,2.032726e-7,4.346421e-7,0.000002529071,0.00001834761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1743724,"threshold_uncertainty_score":0.6900064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632083889861729,"score_gpt":0.3014583302518698,"score_spread":0.2851374913532525,"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."}}