{"id":"W4383616338","doi":"10.1007/978-3-031-35822-7_31","title":"Understanding Older Adults’ Safety Perceptions and Risk Mitigation Strategies when Accessing Online Services","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Affect (linguistics); Perception; Vulnerability (computing); Risk perception; The Internet; Internet privacy; Business; Computer security; Psychology; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001144746,0.0001902121,0.0001946377,0.0003956834,0.0005486675,0.00193452,0.0002403936,0.0005999345,0.003114872],"category_scores_gemma":[0.005137634,0.0001614987,0.0003842364,0.0003584076,0.0003620528,0.001895817,0.0008851974,0.0009974089,0.0002912673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00062128,"about_ca_system_score_gemma":0.0008608108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573136,"about_ca_topic_score_gemma":0.02589535,"domain_scores_codex":[0.9996867,0.00008019542,0.00002406654,0.00003386748,0.00009000787,0.00008520035],"domain_scores_gemma":[0.9979825,0.0009075132,0.0005268834,0.00003960193,0.0002768733,0.0002665863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001603873,0.001057155,0.688793,0.0002477042,0.0001008375,0.0003535117,0.1936715,0.0001872056,0.001247852,0.001732956,0.002313251,0.1101347],"study_design_scores_gemma":[0.00001282715,0.0004322416,0.807585,0.0003442371,0.00009061737,0.0002229326,0.1829821,0.000471929,0.0003557239,0.001761568,0.005713348,0.0000274682],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949693,0.0004754153,0.0001928289,0.0004423791,0.00001134529,0.000009068109,0.00003845577,0.000002082586,0.003859055],"genre_scores_gemma":[0.9969687,0.0007501469,0.0003010242,0.0002444536,0.00001091265,0.00001600509,0.00006232101,0.000001372943,0.001645145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01573136,"threshold_uncertainty_score":0.03127962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563919255953314,"score_gpt":0.293479428120607,"score_spread":0.2578402355610739,"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."}}