{"id":"W7042229140","doi":"","title":"Optimization of a Generated Intrusion Detection System","year":2019,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intrusion detection system; Parsing; Key (lock); Process (computing); Task (project management); Decoupling (probability)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006876011,0.001016492,0.0005497891,0.0006406909,0.0005274061,0.00142112,0.00108555,0.0007089644,0.006186918],"category_scores_gemma":[0.00348899,0.0004836796,0.0006723336,0.0003691509,0.0007235549,0.001041142,0.0008593987,0.0008474091,0.001736756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272481,"about_ca_system_score_gemma":0.001733487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002843377,"about_ca_topic_score_gemma":0.002281063,"domain_scores_codex":[0.9988376,0.000205368,0.00007534416,0.0003092176,0.0003889217,0.0001835131],"domain_scores_gemma":[0.9987656,0.0004679501,0.00007561802,0.0002264716,0.0004220238,0.00004237436],"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":[0.001155119,0.00035327,0.008789855,0.0004103884,0.0001315394,0.0007169734,0.0003734361,0.5339311,0.1137753,0.02128364,0.0160587,0.3030207],"study_design_scores_gemma":[0.00006186189,0.0001685401,0.0007819289,0.00001392795,0.00005928577,0.00008884983,0.0000520199,0.9246265,0.06195404,0.004412605,0.007757836,0.00002269913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2077937,0.000141345,0.7334233,0.0006737954,0.0002349948,0.0005965046,0.001374664,0.04284501,0.01291677],"genre_scores_gemma":[0.6098239,0.00007217629,0.3748006,0.0003064696,0.00003291466,0.0003654207,0.001981966,0.002882049,0.009734419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006186918,"threshold_uncertainty_score":0.02069736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004536451631185837,"score_gpt":0.1683151329585087,"score_spread":0.1637786813273229,"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."}}