{"id":"W4412803287","doi":"10.1109/icirca65293.2025.11089893","title":"Network Attack Prediction Using Machine Learning Techniques","year":2025,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Machine learning; 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":[0.00139468,0.001331884,0.001031085,0.003262913,0.0004170686,0.001108044,0.001229275,0.001093928,0.001172996],"category_scores_gemma":[0.004177401,0.0003697593,0.0009405742,0.001916634,0.0002676744,0.001362994,0.0006200363,0.001373972,0.0007004497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008422237,"about_ca_system_score_gemma":0.0006840485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008946669,"about_ca_topic_score_gemma":0.00812701,"domain_scores_codex":[0.9990962,0.0002505349,0.0000773042,0.0002553192,0.0002175589,0.0001031477],"domain_scores_gemma":[0.9971813,0.001720219,0.0002571323,0.0002254377,0.0005413192,0.00007462034],"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":[0.00009759242,0.0003474504,0.01160612,0.00005670858,0.000126459,0.0001042862,0.0000254714,0.834633,0.0007906378,0.0008307896,0.003265061,0.1481166],"study_design_scores_gemma":[0.000001304327,0.000007609689,0.0002632064,0.000002049249,0.000002775661,0.0000051165,0.000002720944,0.9991447,0.000109573,0.0003735717,0.00008586844,0.000001523067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2469342,0.001576711,0.7372769,0.0009726249,0.0002457636,0.0002810906,0.00224089,0.006047231,0.004424753],"genre_scores_gemma":[0.859908,0.0004800619,0.1333073,0.0001412174,0.0001507829,0.0002205666,0.00344045,0.00007552711,0.002275992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008946669,"threshold_uncertainty_score":0.01778919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966665861836864,"score_gpt":0.2644007393399368,"score_spread":0.2447340807215682,"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."}}