{"id":"W4416962106","doi":"10.1109/pst65910.2025.11268870","title":"Comparing Macro and Micro Approaches for Detecting Phishing Where It Spreads","year":2025,"lang":"","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Phishing; Exploit; Cluster analysis; Domain (mathematical analysis); Granularity; Macro","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001247966,0.0003986956,0.0004833626,0.0002824631,0.00118497,0.002337314,0.0008049658,0.0002641283,0.00001669831],"category_scores_gemma":[0.0002073407,0.0004265007,0.0001703652,0.0007205996,0.0001161668,0.001076288,0.0007613412,0.0004592018,0.000007250452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345831,"about_ca_system_score_gemma":0.0001149201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006578476,"about_ca_topic_score_gemma":0.001034864,"domain_scores_codex":[0.9972516,0.0001156948,0.0005980973,0.001133733,0.0002082505,0.000692582],"domain_scores_gemma":[0.9982887,0.0006359789,0.0002048794,0.0006089853,0.0001176219,0.0001438477],"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":[0.0001744858,0.000160847,0.02499385,0.001905744,0.0003230071,0.000005460306,0.00781203,0.001146681,0.008474393,0.02886812,0.004504128,0.9216313],"study_design_scores_gemma":[0.001300942,0.0001592386,0.003122643,0.0007389592,0.0001195392,0.00003667345,0.001041198,0.9409454,0.03625548,0.005804013,0.009837673,0.0006381758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1209303,0.003180289,0.8559636,0.002860687,0.002296203,0.0006974477,0.000002429919,0.0002334865,0.01383554],"genre_scores_gemma":[0.9500325,0.00008308481,0.04657865,0.0004503908,0.0002753916,0.00004611929,0.000001188381,0.00002284594,0.002509844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9397988,"threshold_uncertainty_score":0.9998187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06863011627151105,"score_gpt":0.2670244338758,"score_spread":0.198394317604289,"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."}}