{"id":"W2141741329","doi":"10.1145/1102256.1102295","title":"802.11 network intrusion detection using genetic programming","year":2005,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Computer science; Genetic programming; Intrusion detection system; Computer network; Computer security; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009281679,0.00006970433,0.00005328005,0.00003440104,0.0002966979,0.0000790542,0.0002372921,0.00003682559,0.00001793612],"category_scores_gemma":[0.000003066486,0.00006486238,0.00003083684,0.0004140613,0.00001720817,0.0002783323,0.0001295368,0.00005535951,0.00004358103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005436218,"about_ca_system_score_gemma":0.00002261601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005747724,"about_ca_topic_score_gemma":0.00006562228,"domain_scores_codex":[0.9992914,0.0000177004,0.0001410188,0.0002236736,0.0001180251,0.0002081331],"domain_scores_gemma":[0.9995935,0.00001586635,0.00004190328,0.0002521525,0.00004046529,0.00005612116],"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":[4.825298e-7,0.00004498877,0.0006888273,0.000001541538,0.000002938642,6.94314e-7,0.00004893779,0.04336982,0.0009624813,0.00839368,0.0001131844,0.9463724],"study_design_scores_gemma":[0.00007147144,0.00001799686,0.006104568,0.000005532513,0.000003026379,0.0000345058,0.000005819565,0.9566286,0.0006050991,0.001137122,0.03528337,0.0001028943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.072992,0.0001057106,0.9258783,0.0003417783,0.0001069078,0.0001337131,8.760327e-8,0.0001991953,0.0002423476],"genre_scores_gemma":[0.3867976,0.000004930974,0.6126332,0.00009215795,0.0003745689,0.0000135123,4.150637e-7,0.000003461051,0.00008005786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9462695,"threshold_uncertainty_score":0.2645011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482381808624742,"score_gpt":0.2448217211238739,"score_spread":0.2299979030376265,"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."}}