{"id":"W2118914322","doi":"10.1007/978-3-642-13446-3_3","title":"Naïve Security in a Wi-Fi World","year":2010,"lang":"en","type":"book-chapter","venue":"IFIP International Federation for Information Processing/IFIP","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vulnerability (computing); Internet privacy; Computer security; Computer science; Work (physics); Security through obscurity; Analogy; Security awareness; Wireless network; Cloud computing security; Wireless; Security information and event management; Information security; Engineering; Telecommunications; Cloud computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001883597,0.0005055397,0.0002422897,0.000641709,0.002443575,0.00809138,0.0006787248,0.001961865,0.004988287],"category_scores_gemma":[0.002954253,0.000319364,0.0002637722,0.0006724419,0.01067629,0.01145985,0.002922217,0.003289812,0.001740673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279149,"about_ca_system_score_gemma":0.0008172476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168604,"about_ca_topic_score_gemma":0.00119784,"domain_scores_codex":[0.9982061,0.000871353,0.0000589073,0.0001791528,0.0005547368,0.000129687],"domain_scores_gemma":[0.9984934,0.001035944,0.00008240543,0.0002062346,0.0001122137,0.00006976585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004317864,0.00005189705,0.002349862,0.0001352505,0.00001123775,0.0004574179,0.09042665,0.0007625224,0.003579315,0.7989125,0.01638401,0.08688611],"study_design_scores_gemma":[0.00001240153,0.0001005892,0.002274564,0.0005610018,0.00001644443,0.001997333,0.03044502,0.003842597,0.002429904,0.3781954,0.5800481,0.00007666811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1777485,0.01015206,0.1389864,0.02993166,0.0004683681,0.0001408908,0.000161196,0.0007467156,0.6416641],"genre_scores_gemma":[0.8487234,0.008506373,0.02993012,0.004755803,0.0001516762,0.0001622152,0.0001633458,0.0002353965,0.1073717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00809138,"threshold_uncertainty_score":0.01668745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655815958404465,"score_gpt":0.3133426398447298,"score_spread":0.2867844802606851,"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."}}