{"id":"W4390482122","doi":"10.1109/ssci52147.2023.10371921","title":"An Intelligent Email Classification System","year":2023,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Malware; Categorization; Phishing; Task (project management); Artificial intelligence; Electronic mail; Multiclass classification; Machine learning; Information retrieval; World Wide Web; The Internet; Support vector machine; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002651334,0.00004013594,0.00003878885,0.00008540248,0.00007624343,0.0001430154,0.0003282178,0.00002923493,0.000006997152],"category_scores_gemma":[0.000007392941,0.00003439681,0.00001823209,0.0004947364,0.000005410266,0.0002975048,0.00003183164,0.00003597106,0.001145467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003677472,"about_ca_system_score_gemma":0.000011605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005248777,"about_ca_topic_score_gemma":0.00001328144,"domain_scores_codex":[0.9994751,0.00003452467,0.0000887675,0.0001812967,0.0001243443,0.00009592054],"domain_scores_gemma":[0.9995129,0.00002090639,0.00002301622,0.0003658158,0.00003072183,0.00004665747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001946313,0.00002174693,0.0006614112,0.00002162977,0.000005390929,0.000003666664,0.0008699243,0.0002423903,0.008872531,0.871553,0.004212076,0.1135343],"study_design_scores_gemma":[0.0000379531,0.00005764468,0.0122387,0.000008781291,0.000001413924,0.000007359574,0.0004885552,0.9727374,0.009509818,0.001120841,0.003703717,0.00008781163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06200953,0.000005475122,0.9234283,0.0004890051,0.001055333,0.0000753839,2.408018e-7,0.002201551,0.01073516],"genre_scores_gemma":[0.9970215,0.000002830974,0.00235771,0.00004864913,0.00007387116,0.00000980139,0.000002512036,0.000003223429,0.0004799305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.972495,"threshold_uncertainty_score":0.9996322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171010048533305,"score_gpt":0.2810397780170029,"score_spread":0.2293296775316698,"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."}}