{"id":"W2149908279","doi":"10.1109/pccc.2007.358935","title":"Optimising Networks Against Malware","year":2007,"lang":"en","type":"article","venue":"IEEE International Performance, Computing, and Communications Conference","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Malware; Computer science; Emulation; Intuition; Interconnection; Software deployment; Computer security; Computer virus; Distributed computing; Network topology; Artificial intelligence; Computer network; Software engineering","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":[0.001930885,0.001013454,0.0007044885,0.001125243,0.0006763741,0.00152711,0.0009643473,0.0009545512,0.002389293],"category_scores_gemma":[0.01211001,0.0005476698,0.000322889,0.0004777589,0.00124069,0.00293942,0.001353532,0.0005853896,0.0006231067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496545,"about_ca_system_score_gemma":0.0008893658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642189,"about_ca_topic_score_gemma":0.001740898,"domain_scores_codex":[0.9990399,0.0003826108,0.00003750077,0.0001761325,0.0001510147,0.000212743],"domain_scores_gemma":[0.9942999,0.00347901,0.0008511686,0.0006238631,0.0005360242,0.0002100975],"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":[0.0001907344,0.00006011554,0.001160468,0.00006987743,0.00002251647,0.00005014274,0.00008167195,0.9581349,0.01063747,0.007602371,0.0008086796,0.02118105],"study_design_scores_gemma":[0.00002782858,0.0002019787,0.0003578601,0.00001873015,0.00002917,0.00004924366,0.00007510171,0.9832371,0.005992864,0.008907585,0.001091353,0.00001131167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6826,0.00128807,0.297893,0.001173818,0.0001872598,0.0002032324,0.0001383067,0.002986561,0.01352979],"genre_scores_gemma":[0.9826189,0.0002678404,0.01598006,0.00005900772,0.00001923207,0.00006281471,0.00004284947,0.00005919078,0.0008901814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002389293,"threshold_uncertainty_score":0.01085818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293767418620486,"score_gpt":0.2873189136385595,"score_spread":0.2543812394523547,"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."}}