{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826911,0.0001048601,0.000267627,0.001181816,0.001490387,0.002036255,0.0004025412,0.0005204379,0.002497847],"category_scores_gemma":[0.005351354,0.0001040475,0.0003780448,0.001235575,0.001333722,0.001104204,0.002920674,0.00102806,0.0002410128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004589448,"about_ca_system_score_gemma":0.00646251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1591679,"about_ca_topic_score_gemma":0.1713495,"domain_scores_codex":[0.9984562,0.0004342625,0.000169055,0.00007966097,0.0003663838,0.0004944156],"domain_scores_gemma":[0.9976689,0.0002335182,0.0006589036,0.00006798489,0.0004910346,0.0008796494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004199978,0.0007545406,0.7959027,0.0004531243,0.00006118655,0.001832151,0.04029286,0.000193102,0.0004018328,0.004137174,0.01323918,0.1423122],"study_design_scores_gemma":[0.00001546831,0.0002969542,0.9360741,0.0002895954,0.00002553172,0.0008435889,0.04676807,0.0001227557,0.00008276958,0.0006552757,0.01479204,0.00003380523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673114,0.002215147,0.00007392778,0.006915426,0.0001020163,0.00004699795,0.0001778774,0.00000968205,0.02314735],"genre_scores_gemma":[0.9965755,0.0009779721,0.00005020049,0.0004188543,0.00002078923,0.00001521579,0.00005143367,0.000002012304,0.001887992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1591679,"threshold_uncertainty_score":0.3164828,"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."}}