{"id":"W2113865496","doi":"10.1109/ares.2012.54","title":"A Personalized Whitelist Approach for Phishing Webpage Detection","year":2012,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Phishing; Computer science; Web page; The Internet; Filter (signal processing); World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005488288,0.00009634103,0.00009546771,0.00007919382,0.0002232954,0.0001958371,0.0002815517,0.00007002844,0.00001612805],"category_scores_gemma":[0.00006234941,0.00008609906,0.00008588121,0.0002465081,0.00001774957,0.001157971,0.00005426707,0.00008876919,0.00001769877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005089119,"about_ca_system_score_gemma":0.00001084083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004643816,"about_ca_topic_score_gemma":0.000006540158,"domain_scores_codex":[0.9991773,0.0000391789,0.0001153574,0.0002218314,0.0001522653,0.0002940404],"domain_scores_gemma":[0.9995093,0.00006345687,0.00004907719,0.0002380016,0.00004511634,0.00009505272],"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":[0.0002181728,0.0008971862,0.004369981,0.0002954552,0.0001684901,0.000001413513,0.01988898,0.0002344838,0.1206453,0.2706923,0.01317164,0.5694166],"study_design_scores_gemma":[0.002515828,0.0003287906,0.004358987,0.00001716963,0.00005281205,0.0001724119,0.0005784801,0.7681741,0.07232489,0.003623352,0.1467974,0.001055741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00696937,0.0001288416,0.981566,0.0001457277,0.000764412,0.0002051995,7.31412e-7,0.000350191,0.009869582],"genre_scores_gemma":[0.8726561,0.000002033798,0.1256484,0.0002525692,0.0004189656,0.00006720075,0.000002545655,0.000009022735,0.0009431643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8656868,"threshold_uncertainty_score":0.3511018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302681884766181,"score_gpt":0.2453131393880482,"score_spread":0.2150449509114301,"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."}}