{"id":"W53369608","doi":"","title":"A distributed content independent method for spam detection","year":2007,"lang":"en","type":"article","venue":"Conference on Workshop on Hot Topics in Understanding Botnets","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Botnet; Spamming; Spambot; Computer science; Forum spam; Denial-of-service attack; Computer security; Identification (biology); Peer-to-peer; Computer network; 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":[0.00182696,0.001172979,0.001839293,0.005921484,0.001875934,0.002113277,0.002320017,0.001963121,0.003921046],"category_scores_gemma":[0.005022218,0.0005556407,0.0007577543,0.002917607,0.0009368874,0.002514758,0.001743356,0.001264493,0.004634469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250152,"about_ca_system_score_gemma":0.001267684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241121,"about_ca_topic_score_gemma":0.001161098,"domain_scores_codex":[0.9965898,0.0005317205,0.0001662825,0.0008211897,0.001707564,0.0001833943],"domain_scores_gemma":[0.9949543,0.0008067048,0.0004144681,0.001507879,0.002136095,0.0001805251],"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":[0.0006387333,0.0005718207,0.004406754,0.0001982248,0.0001607412,0.000330294,0.000311434,0.00859549,0.07564757,0.01080122,0.01405169,0.8842862],"study_design_scores_gemma":[0.000190606,0.0004228953,0.004933815,0.00005503601,0.0002106911,0.001921432,0.0001754775,0.83092,0.1066823,0.0171809,0.03712428,0.0001826092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01199426,0.0002874151,0.9750377,0.0001646746,0.0001755052,0.0003598796,0.0001448263,0.008187541,0.003648204],"genre_scores_gemma":[0.2546163,0.0002550629,0.7279055,0.0003312822,0.0003697213,0.0006564789,0.0005890326,0.0004377475,0.0148389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005921484,"threshold_uncertainty_score":0.01311713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2262174843224862,"score_gpt":0.3516476524258675,"score_spread":0.1254301681033813,"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."}}