{"id":"W4220823507","doi":"10.18280/isi.270119","title":"Spam Mail Detection Using Optimization Techniques","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Naive Bayes classifier; Decision tree; Random forest; Machine learning; Spamming; Precision and recall; Python (programming language); Support vector machine; Artificial intelligence; The Internet; Data mining; Classifier (UML); World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006014063,0.0001280839,0.0001112555,0.0004211671,0.001009173,0.0004293688,0.0003785012,0.00006168037,0.00004704203],"category_scores_gemma":[0.00007215663,0.0001471042,0.00005591472,0.00094289,0.00003188238,0.005203917,0.0002354173,0.0001842756,0.00001352328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006790914,"about_ca_system_score_gemma":0.00006632819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897996,"about_ca_topic_score_gemma":0.000003775927,"domain_scores_codex":[0.998778,0.0001153031,0.0003757471,0.0001510445,0.0003656373,0.0002142093],"domain_scores_gemma":[0.9991872,0.00002514382,0.0002938815,0.0003010589,0.0001459966,0.00004677721],"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":[0.00004428773,0.00003919873,0.000328092,0.00009524113,0.00002597673,0.000003145414,0.00615096,0.4259551,0.002959255,0.003993269,0.00014837,0.5602571],"study_design_scores_gemma":[0.0001505674,0.0001924798,0.000225349,0.000017446,0.000007697226,0.0001763478,0.0002880064,0.9785127,0.01212639,0.002406032,0.005673411,0.0002235759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03736053,0.00002653056,0.9582,0.00003029464,0.0008126496,0.0002636206,0.000004302954,0.0007225372,0.002579567],"genre_scores_gemma":[0.9326865,0.000004874621,0.06689683,0.0001915534,0.00007138794,0.00009508758,0.00002261352,0.000009162493,0.00002194991],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.895326,"threshold_uncertainty_score":0.7761848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148420986288966,"score_gpt":0.2206994099147303,"score_spread":0.2058573112858337,"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."}}