{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002487893,0.0005618869,0.0002680156,0.001170215,0.001273797,0.003183494,0.0004745563,0.0008903061,0.009084359],"category_scores_gemma":[0.01716711,0.0002185594,0.0005367502,0.0004532399,0.001221503,0.002346126,0.003033553,0.001044482,0.001802042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094052,"about_ca_system_score_gemma":0.0007817634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353855,"about_ca_topic_score_gemma":0.00280665,"domain_scores_codex":[0.9979748,0.000557543,0.0001227628,0.0002060133,0.0006889223,0.0004499118],"domain_scores_gemma":[0.9850389,0.003760466,0.004426093,0.001604153,0.00220146,0.002968884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004043715,0.001101535,0.8721387,0.0001489992,0.00007507692,0.0007343054,0.01431805,0.001449913,0.00275817,0.002380801,0.00415264,0.1003373],"study_design_scores_gemma":[0.00007963635,0.005050494,0.8778718,0.0003961225,0.0002742623,0.00316173,0.04566337,0.01723942,0.004410366,0.01381393,0.03186963,0.000169334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903907,0.00009626696,0.0008593972,0.0003932855,0.00002102216,0.00002770976,0.00004629267,0.00008083616,0.008084558],"genre_scores_gemma":[0.9981989,0.00005339667,0.0004352664,0.0001285202,0.00001045999,0.00001045954,0.00003085701,0.000007127238,0.001124991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009084359,"threshold_uncertainty_score":0.03039026,"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."}}