{"id":"W4225014877","doi":"10.1145/3491102.3501845","title":"Unofficial Proxies: How Close Others Help Older Adults with Banking","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Modalities; Internet privacy; Older people; Psychology; Business; Computer science; Gerontology; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008285682,0.0002661997,0.0003833608,0.0002568643,0.001824119,0.0004203079,0.0007129016,0.0001036101,0.0001554266],"category_scores_gemma":[0.00003976003,0.0002401177,0.00006815137,0.0004870144,0.0001755488,0.0001138847,0.0001182953,0.0005755335,0.000004899224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799505,"about_ca_system_score_gemma":0.0002941401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004428391,"about_ca_topic_score_gemma":0.003681602,"domain_scores_codex":[0.9967559,0.0007367221,0.0003093378,0.000576391,0.001015553,0.000606114],"domain_scores_gemma":[0.9990457,0.0002020916,0.0002765762,0.0002953619,0.00007960058,0.0001007186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001258005,0.0005211238,0.1987706,0.0002389009,0.0001008419,0.00007033251,0.6676466,0.001905012,0.0002509983,0.1257556,0.001103943,0.003510161],"study_design_scores_gemma":[0.007711693,0.003099058,0.0495947,0.01601217,0.00008223459,0.00001789539,0.8940444,0.01107871,0.0006038556,0.001487634,0.01225446,0.004013216],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909439,0.0001165724,0.0001004724,0.0002465903,0.000916973,0.0008984021,0.000007491792,0.0002158458,0.00655376],"genre_scores_gemma":[0.9990734,0.000009582576,0.00001042014,0.00006126376,0.0003793638,0.00003844854,0.00001303175,0.00003403184,0.0003804301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2263977,"threshold_uncertainty_score":0.9994754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326640048497513,"score_gpt":0.3094021711414422,"score_spread":0.2561357706564671,"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."}}