{"id":"W4411010477","doi":"10.1145/3714393.3726493","title":"Evaluating Website Data Leaks through Spam Collection on Honeypots","year":2024,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Honeypot; Computer science; Botnet; Computer security; 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":[0.003814258,0.0007041761,0.0008543904,0.00284703,0.000864436,0.001520029,0.0006818342,0.001171628,0.000819918],"category_scores_gemma":[0.01579397,0.0002904642,0.0004021974,0.001092923,0.0007760197,0.002667211,0.001519222,0.001068396,0.0006144925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428629,"about_ca_system_score_gemma":0.000372148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005076281,"about_ca_topic_score_gemma":0.0006708046,"domain_scores_codex":[0.9939181,0.002016751,0.0006014408,0.000794936,0.002199992,0.0004687607],"domain_scores_gemma":[0.9771289,0.009061417,0.005186029,0.003227083,0.004046737,0.001349758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003099698,0.005305217,0.6223961,0.001573209,0.0006994361,0.002343208,0.007628468,0.01151596,0.09218549,0.002599114,0.007735804,0.2429182],"study_design_scores_gemma":[0.0001487676,0.007927078,0.7184638,0.0003882148,0.0004544703,0.004066949,0.005626227,0.1622806,0.08777113,0.002961385,0.009644484,0.0002669225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905371,0.000222385,0.0059735,0.00009935047,0.00004720018,0.0004086781,0.0003003391,0.0005804221,0.001830949],"genre_scores_gemma":[0.9922609,0.00009648978,0.006132048,0.00009350987,0.00001988257,0.0001540344,0.0003847827,0.00003300212,0.0008253602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003814258,"threshold_uncertainty_score":0.020172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.219541362242104,"score_gpt":0.4062529624929193,"score_spread":0.1867116002508153,"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."}}