{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002688474,0.0003020609,0.0003825757,0.0006647681,0.002362653,0.001933859,0.000495608,0.0008009024,0.002648244],"category_scores_gemma":[0.01538235,0.0001782637,0.0002707338,0.0003733636,0.0008118709,0.001877783,0.002537202,0.0006104486,0.000331092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044733,"about_ca_system_score_gemma":0.001364758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560929,"about_ca_topic_score_gemma":0.04195935,"domain_scores_codex":[0.9979361,0.001105152,0.0002042438,0.0001601381,0.000332236,0.0002620247],"domain_scores_gemma":[0.9917787,0.002493059,0.002306003,0.0004148216,0.001331409,0.001676041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004597389,0.0004773367,0.6008489,0.000546513,0.0001501706,0.0007058193,0.2862033,0.0001311059,0.001103574,0.0005193665,0.005935738,0.1029186],"study_design_scores_gemma":[0.00005004715,0.0006279208,0.3734993,0.0005181429,0.0002090724,0.0010256,0.6006519,0.0004380317,0.0004693959,0.0003771772,0.0220567,0.00007682321],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952041,0.0008586245,0.0002031856,0.0005682617,0.00002824497,0.0000444182,0.00006792139,0.00000881081,0.003016478],"genre_scores_gemma":[0.9979595,0.0005162078,0.0003320148,0.0002865875,0.0000118922,0.00002518683,0.00004985133,0.000003091744,0.0008155892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560929,"threshold_uncertainty_score":0.03103685,"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."}}