{"id":"W4412780265","doi":"10.1007/s00521-025-11490-1","title":"Two-stage APT malware propagation model in computer networks","year":2025,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computational Science and Engineering; Malware; Computer science; Stage (stratigraphy); Artificial intelligence; Machine learning; Computer security; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001735799,0.0001096866,0.0001188866,0.0001233056,0.0003047461,0.0001534955,0.000285459,0.00005654227,8.10963e-7],"category_scores_gemma":[0.00000344774,0.0001109431,0.00002913659,0.0006582079,0.00003471486,0.00017584,0.0002668689,0.0002446707,0.000002534181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002688317,"about_ca_system_score_gemma":0.00002084266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002745957,"about_ca_topic_score_gemma":0.00002520941,"domain_scores_codex":[0.9990487,0.00005104081,0.000236095,0.0003821175,0.00008527937,0.0001968222],"domain_scores_gemma":[0.9994799,0.00007783445,0.00006766608,0.000282445,0.0000494394,0.00004269172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000233652,0.0000283829,0.00028402,0.00001268393,0.000002107076,5.206413e-7,0.00006714981,0.6492181,0.00004851768,0.09522969,0.0001335128,0.254973],"study_design_scores_gemma":[0.0002300122,0.00001563321,0.0009744333,0.00002938681,0.000002309286,0.000003429398,0.000005192688,0.9934688,0.0000470563,0.00456149,0.0005612483,0.0001010113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03856516,0.0001208823,0.959271,0.0006771676,0.0001173993,0.000335083,7.276242e-7,0.0001973723,0.000715229],"genre_scores_gemma":[0.9799827,0.00001718078,0.01900529,0.0007310443,0.0001217917,0.00003869416,0.000005429873,0.000004451275,0.0000933947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9414176,"threshold_uncertainty_score":0.4524128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237690927385346,"score_gpt":0.2635852674231668,"score_spread":0.2512083581493133,"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."}}