{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007835888,0.001018863,0.0008637127,0.001769078,0.0006830433,0.001197724,0.001432968,0.001647668,0.007894685],"category_scores_gemma":[0.002243137,0.0003547156,0.0006111108,0.0008161651,0.00022156,0.001807243,0.0009379324,0.0008577931,0.007008417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016868,"about_ca_system_score_gemma":0.0007734697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00351006,"about_ca_topic_score_gemma":0.002837473,"domain_scores_codex":[0.9993458,0.00006351052,0.00006294624,0.0002515416,0.0001725735,0.0001035785],"domain_scores_gemma":[0.9991848,0.0001196333,0.00008466976,0.0001468203,0.0003989625,0.00006519278],"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":[0.0007510393,0.0005769503,0.006013996,0.0002865655,0.0001119892,0.0006098798,0.0001162309,0.01185015,0.0472777,0.003117658,0.08395542,0.8453325],"study_design_scores_gemma":[0.0000760754,0.0002979163,0.005877797,0.00007068874,0.0001678706,0.000586456,0.00006473446,0.9032026,0.04602318,0.005880954,0.0376922,0.00005945667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1494423,0.002570984,0.6239589,0.00271656,0.001938454,0.001071178,0.004305049,0.1854398,0.02855681],"genre_scores_gemma":[0.6551902,0.0006986221,0.2950223,0.002808771,0.0006814786,0.0005068266,0.008463884,0.0006553516,0.0359726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007894685,"threshold_uncertainty_score":0.0264104,"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."}}