{"id":"W1970785087","doi":"10.1109/ecrime.2011.6151976","title":"Controlling spam and spear phishing via peered network overlays and non-repudiable traceback","year":2011,"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 Victoria","funders":"","keywords":"Botnet; Phishing; Spamming; Computer security; Forum spam; Computer science; Malware; Spambot; Hacker; The Internet; Internet privacy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002151019,0.0005191067,0.0005641599,0.001029835,0.0009208807,0.001129062,0.001238745,0.0007232612,0.0008287833],"category_scores_gemma":[0.007291887,0.000252024,0.0002615654,0.0004690512,0.001561336,0.00251792,0.002406735,0.0008944613,0.0002759795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009195638,"about_ca_system_score_gemma":0.001067731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578821,"about_ca_topic_score_gemma":0.001873279,"domain_scores_codex":[0.9982132,0.0005204006,0.0001036031,0.0002708817,0.0006729214,0.0002190263],"domain_scores_gemma":[0.9945528,0.001592962,0.001042563,0.001463461,0.001046491,0.0003016783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001131093,0.00116458,0.01103475,0.0002840325,0.0001321657,0.0006941336,0.001514762,0.4535682,0.1373622,0.05436721,0.00289518,0.3358517],"study_design_scores_gemma":[0.00004949364,0.0003125796,0.0008850159,0.0000117472,0.0000316137,0.0001429481,0.000197876,0.9610383,0.02222483,0.01238552,0.002687697,0.00003230327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3952369,0.0003574599,0.594068,0.0004403334,0.00006797447,0.0003233282,0.000037992,0.004409064,0.005059034],"genre_scores_gemma":[0.9732075,0.00007399719,0.02596038,0.00002474769,0.00001606406,0.00003489944,0.000012406,0.00002371489,0.0006463084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002578821,"threshold_uncertainty_score":0.01137578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795373410652797,"score_gpt":0.1893880415078302,"score_spread":0.1714343074013022,"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."}}