{"id":"W4402322472","doi":"10.5539/cis.v17n2p39","title":"Generative AI Increases Cybersecurity Risks for Seniors","year":2024,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; Generative grammar; Artificial intelligence","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":[0.0006627398,0.00005166023,0.00005676288,0.0001558148,0.0007597712,0.0007875934,0.000144457,0.00002741278,0.00001415241],"category_scores_gemma":[0.00006443611,0.0000429547,0.00002530375,0.0004973006,0.000383525,0.00597761,0.00004634164,0.0000529862,0.00002297638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470626,"about_ca_system_score_gemma":0.0002895478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003132441,"about_ca_topic_score_gemma":0.00005410557,"domain_scores_codex":[0.9993347,0.00002257819,0.0001218795,0.0001088156,0.000239519,0.0001725437],"domain_scores_gemma":[0.9995574,0.0001110259,0.00002187203,0.00005938451,0.0001563094,0.00009402235],"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":[0.00001030969,0.00002017138,0.0007630523,0.00006495068,0.00001351573,0.000001095531,0.1472407,0.00009544786,0.0001086821,0.3306089,0.02466879,0.4964043],"study_design_scores_gemma":[0.000310496,0.0001528388,0.003645043,0.000161674,0.00001588592,0.000007414013,0.002230313,0.1773287,0.001485183,0.008304605,0.8060293,0.0003285612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4597027,0.0007758792,0.5100213,0.005105286,0.002064304,0.0008237883,0.0000387379,0.0004029353,0.02106506],"genre_scores_gemma":[0.9941214,0.0003900569,0.003006754,0.002179977,0.0002545119,0.00001289964,0.000004405024,0.000001480608,0.00002854993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7813605,"threshold_uncertainty_score":0.7594781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990614932053017,"score_gpt":0.3541157240135661,"score_spread":0.324209574693036,"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."}}