{"id":"W2773931783","doi":"10.1109/iemcon.2017.8117213","title":"Exploring dynamic security in the workplace","year":2017,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kwantlen Polytechnic University","funders":"","keywords":"Phishing; Computer science; Personalization; Computer security; Usability; Scope (computer science); Vulnerability (computing); Filter (signal processing); Focus (optics); World Wide Web; The Internet; Human–computer interaction","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":[0.00102092,0.0002021526,0.0002758895,0.001090283,0.001578981,0.004007435,0.0005669957,0.001430093,0.006068467],"category_scores_gemma":[0.002322015,0.0002327141,0.000337633,0.0006679466,0.00172242,0.004543191,0.002867299,0.0007124514,0.0006600863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200181,"about_ca_system_score_gemma":0.001200761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003247212,"about_ca_topic_score_gemma":0.003064613,"domain_scores_codex":[0.9992509,0.000370231,0.00002067428,0.000119618,0.00009115982,0.0001473245],"domain_scores_gemma":[0.998902,0.0005872356,0.0001349083,0.0001091283,0.00008218247,0.000184636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004890103,0.001399966,0.1316563,0.0004674382,0.0001080761,0.00347657,0.05510344,0.02483668,0.01133305,0.368432,0.00731933,0.3953781],"study_design_scores_gemma":[0.00009249258,0.0007075665,0.05253552,0.0004468999,0.00007451888,0.002011967,0.1309468,0.1454546,0.003158587,0.5833107,0.08115498,0.0001054475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8243353,0.001794681,0.09419714,0.007798221,0.00005008999,0.00006931166,0.0001599232,0.0003347872,0.07126046],"genre_scores_gemma":[0.9906425,0.0003510133,0.007299009,0.0001067628,0.00001194028,0.0000151075,0.00003529388,0.000008827318,0.001529521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006068467,"threshold_uncertainty_score":0.02030104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773647968580485,"score_gpt":0.276364017740333,"score_spread":0.1989992208822845,"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."}}