{"id":"W4408519585","doi":"10.1109/lnet.2025.3551989","title":"Comprehensive Advanced Persistent Threats Dataset","year":2025,"lang":"en","type":"article","venue":"IEEE Networking Letters","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Computer science","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":[0.00157107,0.001295262,0.0008299312,0.003017061,0.001030623,0.001435557,0.002121503,0.002625349,0.006085351],"category_scores_gemma":[0.005543397,0.000313254,0.0008228363,0.002736585,0.0005846939,0.002048345,0.00197898,0.002163547,0.009308733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123572,"about_ca_system_score_gemma":0.001582329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008137731,"about_ca_topic_score_gemma":0.01483223,"domain_scores_codex":[0.9978369,0.0004041036,0.0002643849,0.0004185381,0.0007720386,0.0003040678],"domain_scores_gemma":[0.9966078,0.0006932275,0.0004886318,0.001039956,0.0008661555,0.0003041472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003048055,0.0004048764,0.02574204,0.0008239321,0.000138281,0.0005389008,0.0001756065,0.006654514,0.00165579,0.005052077,0.9259467,0.03256233],"study_design_scores_gemma":[0.0001854232,0.0002183453,0.04368768,0.0004453194,0.00007721352,0.001110549,0.0006372586,0.01557399,0.002847037,0.00507223,0.9300239,0.00012101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0263031,0.001120892,0.003383629,0.001194253,0.0002566559,0.000440792,0.950905,0.002126886,0.01426881],"genre_scores_gemma":[0.0268591,0.0002998491,0.003848132,0.0003460926,0.00005712616,0.0003135109,0.966409,0.00008427657,0.001782991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008137731,"threshold_uncertainty_score":0.02035749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316646067264357,"score_gpt":0.2621675295900745,"score_spread":0.2390010689174309,"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."}}