{"id":"W4413980748","doi":"10.1109/incet64471.2025.11140784","title":"Machine Learning and Security Fake Email Detection and Intrusion Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Intrusion detection system; Computer science; Computer security; Artificial intelligence","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":[0.004686889,0.0007262557,0.000756013,0.002388775,0.0006153997,0.002178838,0.0006736763,0.001458623,0.001652251],"category_scores_gemma":[0.02499775,0.0003168336,0.0005616053,0.002050136,0.001232504,0.002495398,0.000765533,0.001546476,0.0005812589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163052,"about_ca_system_score_gemma":0.0007683464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075718,"about_ca_topic_score_gemma":0.001701349,"domain_scores_codex":[0.9953561,0.002318609,0.0002373753,0.000576687,0.00124446,0.0002667493],"domain_scores_gemma":[0.9769632,0.01780296,0.001972968,0.0015639,0.001519242,0.0001777032],"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":[0.0002623827,0.000520805,0.0597623,0.0004361812,0.0002817679,0.0002892561,0.0004319619,0.3229854,0.005429369,0.04526963,0.004188311,0.5601426],"study_design_scores_gemma":[0.00001067042,0.000157436,0.01553386,0.0001054667,0.00003510504,0.0003511235,0.0001289766,0.9332705,0.007457915,0.03734039,0.005567186,0.00004143641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.339822,0.008334742,0.6209267,0.007363883,0.0004712343,0.0001481058,0.0004955643,0.001587638,0.02085006],"genre_scores_gemma":[0.9288522,0.001519484,0.06608862,0.0002847855,0.0002352297,0.00005026153,0.0002797055,0.00004415551,0.002645566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004686889,"threshold_uncertainty_score":0.02478695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005024045442893092,"score_gpt":0.2168111142553796,"score_spread":0.2117870688124865,"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."}}