{"id":"W2006605027","doi":"10.1145/2493190.2493223","title":"Know your enemy","year":2013,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Insider threat; Insider; Adversary; Internet privacy; Adversarial system; Computer security; Computer science; Phishing; Authentication (law); Data breach; World Wide Web; The Internet","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":[0.001060012,0.0007682197,0.0004752378,0.0006671937,0.003444074,0.003225495,0.0005132403,0.002186843,0.08463129],"category_scores_gemma":[0.007738551,0.0002621503,0.000498959,0.0003101903,0.001625719,0.004685704,0.002228097,0.003108277,0.02921509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933751,"about_ca_system_score_gemma":0.0006834317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648891,"about_ca_topic_score_gemma":0.003357397,"domain_scores_codex":[0.9989167,0.0003314846,0.00004135041,0.000148898,0.0003610364,0.0002004783],"domain_scores_gemma":[0.997368,0.0005121236,0.0005158389,0.0002627078,0.0006634905,0.0006777908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002569795,0.0001438609,0.02521926,0.0003800974,0.0001710261,0.002131221,0.01174284,0.000424931,0.001959424,0.02473862,0.7110538,0.2217779],"study_design_scores_gemma":[0.00001882973,0.0002321082,0.009298832,0.0003338986,0.00005802288,0.003665445,0.01292914,0.0005129096,0.0006304482,0.01084513,0.9614027,0.00007255358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1123243,0.01643159,0.01792524,0.3014186,0.01624673,0.0002135086,0.001608596,0.001201953,0.5326294],"genre_scores_gemma":[0.5255967,0.00970455,0.005116567,0.08899987,0.003335904,0.00008118218,0.0008132069,0.0002322246,0.3661198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08463129,"threshold_uncertainty_score":0.2831199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771617234015734,"score_gpt":0.2382269034006688,"score_spread":0.2205107310605115,"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."}}