{"id":"W4304187569","doi":"10.5121/ijite.2022.11302","title":"Creating Computer Confidence : An Investigation into Current Privacy and Security Concerns of the Senior Demographic","year":2022,"lang":"en","type":"article","venue":"International Journal on Integrating Technology in Education","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"The Internet; Internet privacy; Pandemic; Literacy; Coronavirus disease 2019 (COVID-19); Computer literacy; Knowledge management; Business; Computer science; Public relations; Political science; Economic growth; World Wide Web; Medicine; Economics","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":[0.005991358,0.0001417668,0.0002963795,0.001726241,0.00201109,0.002511031,0.0004397196,0.0006522482,0.00167013],"category_scores_gemma":[0.02024462,0.0002183047,0.0003271336,0.001043481,0.00122272,0.002315818,0.001961908,0.001095008,0.0002127443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161817,"about_ca_system_score_gemma":0.001714565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004496894,"about_ca_topic_score_gemma":0.006571399,"domain_scores_codex":[0.997591,0.001022119,0.0002931719,0.0001164992,0.0006359632,0.0003412299],"domain_scores_gemma":[0.9864737,0.005042793,0.003246973,0.0004302356,0.003060555,0.001745763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008655343,0.0003604287,0.696308,0.0002179161,0.00002684342,0.0007426771,0.2556678,0.00003087037,0.0007054122,0.001010968,0.001205674,0.0436369],"study_design_scores_gemma":[0.000008239711,0.0006211439,0.4596778,0.0001913589,0.00003328639,0.001088375,0.5298453,0.000226001,0.0003079505,0.0003864871,0.007589718,0.00002434991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962924,0.0001651905,0.0001228284,0.0006569931,0.00001187034,0.0000235567,0.0000326861,0.000002112486,0.002692391],"genre_scores_gemma":[0.9990113,0.0002501169,0.0001195473,0.000207472,0.000008996641,0.00001826262,0.00002271023,0.000001129243,0.000360365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005991358,"threshold_uncertainty_score":0.03168571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561628673106251,"score_gpt":0.3426156752390213,"score_spread":0.3269993885079588,"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."}}