{"id":"W2983781061","doi":"10.1145/3318216.3363337","title":"Homoglyph attack detection with unpaired data","year":2019,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer security","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":[0.00122946,0.0007565957,0.0009245569,0.002205214,0.0005818681,0.001223822,0.0006558726,0.001298336,0.002886686],"category_scores_gemma":[0.006415559,0.0002812645,0.0004390529,0.00120748,0.0006681058,0.002192875,0.002052828,0.001239782,0.002249252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139294,"about_ca_system_score_gemma":0.0005885656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005277474,"about_ca_topic_score_gemma":0.0006215664,"domain_scores_codex":[0.9981043,0.0002135721,0.0001100036,0.0004650994,0.0008271154,0.0002796944],"domain_scores_gemma":[0.9960759,0.001170987,0.0005635043,0.001202735,0.0007787559,0.0002080844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004820939,0.0008496083,0.08437724,0.0004950289,0.0002985018,0.005227239,0.0008660373,0.02577095,0.195695,0.01662524,0.01960597,0.6453684],"study_design_scores_gemma":[0.00007480683,0.001035239,0.03077634,0.0001157695,0.0001081981,0.006066194,0.000701773,0.7351978,0.181941,0.02441272,0.01945239,0.0001176948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5587975,0.0009389899,0.4191365,0.0008297343,0.000556596,0.0002304913,0.002714303,0.004850404,0.01194537],"genre_scores_gemma":[0.8897517,0.0001965933,0.1027248,0.0002750121,0.0001669237,0.00008653937,0.002376871,0.0001322743,0.004289288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002886686,"threshold_uncertainty_score":0.009656906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483951660043356,"score_gpt":0.2406172724222551,"score_spread":0.2057777558218216,"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."}}