{"id":"W2164600404","doi":"10.1109/ssiri.2010.17","title":"PhishTester: Automatic Testing of Phishing Attacks","year":2010,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phishing; Computer science; Leverage (statistics); Scripting language; Computer security; World Wide Web; Information sensitivity; Web application; The Internet; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003530311,0.00007727954,0.0001047845,0.0000815567,0.00007778861,0.0001298581,0.0005604479,0.00005493988,0.00004646845],"category_scores_gemma":[0.0003215002,0.00006856187,0.00003545556,0.0003966068,0.00002788294,0.0006307069,0.000124405,0.0001872938,0.00003337573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007468982,"about_ca_system_score_gemma":0.00003212767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001003589,"about_ca_topic_score_gemma":0.0000361568,"domain_scores_codex":[0.9992576,0.00001915526,0.0001975173,0.0001913623,0.0001831829,0.000151212],"domain_scores_gemma":[0.9990869,0.0002480066,0.0001011182,0.0004295533,0.00008058962,0.0000538781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000131454,0.0001004863,0.0303629,0.00007664303,0.00001734783,0.000007877285,0.001348824,0.00005669107,0.3050476,0.02339164,0.001666796,0.6379219],"study_design_scores_gemma":[0.0004306975,0.0001943306,0.04617205,0.0000781724,0.000012459,0.0001385782,0.0000274895,0.8207855,0.1175525,0.01120525,0.002992398,0.0004105818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246403,0.000009787267,0.1513107,0.0003964762,0.001187809,0.00008178054,2.838979e-7,0.0005751286,0.02179774],"genre_scores_gemma":[0.8355522,1.854322e-7,0.1641232,0.0001347723,0.00007725628,0.000002678938,1.769623e-7,0.000004915124,0.0001046142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8207288,"threshold_uncertainty_score":0.2795871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230607588746938,"score_gpt":0.2460909461809874,"score_spread":0.223784870293518,"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."}}