{"id":"W3127087316","doi":"10.1145/3442167.3442174","title":"Out of Sight, Out of Mind: UI Design and the Inhibition of Mental Models of Security","year":2020,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; SAFER; Computer security; Sight; Logical security; Threat model; Security through obscurity; Visibility; Human–computer interaction; Human-computer interaction in information security; Computer security model; Software security assurance; Software; Internet privacy; Mental model; Information security; Security information and event management; Cloud computing security; Security service; Cognitive science; Psychology","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":[0.01106061,0.0008182864,0.0005425934,0.001261833,0.002077232,0.009206165,0.001911698,0.002581745,0.003648409],"category_scores_gemma":[0.05656615,0.0008656036,0.0009297078,0.0007241947,0.0149974,0.01316451,0.004740363,0.004798433,0.0003023115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383873,"about_ca_system_score_gemma":0.001701156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846455,"about_ca_topic_score_gemma":0.001459196,"domain_scores_codex":[0.9904399,0.006516564,0.000372524,0.0006742917,0.001407463,0.0005892693],"domain_scores_gemma":[0.9484336,0.03854556,0.004135536,0.005598512,0.002036035,0.001250655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009818731,0.0003723099,0.02794986,0.001111725,0.0001564296,0.001119833,0.3406057,0.005071901,0.02120527,0.4850977,0.00259716,0.1137301],"study_design_scores_gemma":[0.0003682712,0.001079331,0.03178288,0.001233638,0.0004902149,0.003524166,0.08514779,0.06177416,0.03307633,0.7024888,0.07841562,0.0006187962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6166385,0.002415367,0.2928935,0.01229695,0.0003555959,0.0001296096,0.00004173315,0.0009092131,0.07431959],"genre_scores_gemma":[0.985207,0.0002352148,0.01288868,0.0004000367,0.00001949903,0.00004746734,0.00001510273,0.00007170041,0.001115294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01106061,"threshold_uncertainty_score":0.05849481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312752877971369,"score_gpt":0.2337083980924984,"score_spread":0.2024331102953615,"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."}}