{"id":"W2167384224","doi":"10.1109/hicss.2006.195","title":"Genres of Spam: Expectations and Deceptions","year":2006,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Internet privacy; Spamming; 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":[0.02372286,0.0004208222,0.0005357537,0.003735983,0.004010697,0.01283371,0.001171495,0.002177937,0.003000446],"category_scores_gemma":[0.1453556,0.000558298,0.0004175237,0.001385531,0.01104144,0.009796834,0.004542585,0.003368935,0.0006799938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003447183,"about_ca_system_score_gemma":0.001231257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004063,"about_ca_topic_score_gemma":0.001599327,"domain_scores_codex":[0.9805511,0.01051119,0.001136095,0.001157975,0.005881283,0.0007623874],"domain_scores_gemma":[0.8604376,0.07985032,0.02346639,0.01098639,0.01879658,0.006462714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007430923,0.0006163918,0.2788253,0.0002651952,0.00004560809,0.0008736529,0.5787963,0.000667537,0.003408101,0.08160005,0.002262196,0.05189655],"study_design_scores_gemma":[0.0000969403,0.001033526,0.2766722,0.0004568539,0.00006919269,0.002004095,0.5664561,0.01118157,0.002978348,0.1126727,0.02612009,0.0002584821],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381634,0.0003598148,0.005977167,0.00379855,0.00009812064,0.0001204022,0.00006326952,0.00003452202,0.05138478],"genre_scores_gemma":[0.9978809,0.00006658129,0.0006389939,0.0002430969,0.0000343917,0.00003425749,0.00002658373,0.00001182192,0.001063371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02372286,"threshold_uncertainty_score":0.12546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006146805311599089,"score_gpt":0.2044084871437384,"score_spread":0.1982616818321393,"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."}}