{"id":"W4298343004","doi":"10.18280/ria.360418","title":"A Comprehensive Analysis on Numerous Learning Models for Intrusion Detection for Security Conservation","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hacker; Intrusion detection system; Computer science; Computer security; Network security; Focus (optics); Intrusion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005904152,0.002019455,0.001619705,0.003357078,0.001380984,0.00335718,0.002787068,0.002404814,0.004777129],"category_scores_gemma":[0.02035759,0.0008562596,0.002424564,0.003990828,0.00126685,0.00542169,0.001546226,0.003987601,0.001333392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002953691,"about_ca_system_score_gemma":0.001754934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009097344,"about_ca_topic_score_gemma":0.008933309,"domain_scores_codex":[0.9968864,0.001127545,0.0002468861,0.0005527395,0.0009766105,0.0002098167],"domain_scores_gemma":[0.9864898,0.01088674,0.0005471602,0.0006537811,0.001290409,0.000132071],"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":[0.0001172206,0.0002959177,0.008393817,0.0005981569,0.0004774613,0.0002816734,0.0002311031,0.3981252,0.0005234092,0.2553637,0.0156107,0.3199817],"study_design_scores_gemma":[0.000009843409,0.0000588636,0.001247049,0.0001789765,0.00009922765,0.0002574557,0.00005835741,0.8319454,0.0003220275,0.1548583,0.01092299,0.00004163864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008890736,0.01941085,0.9526769,0.00494229,0.0004061295,0.0001459648,0.000427949,0.0005163074,0.01258285],"genre_scores_gemma":[0.5206529,0.04398342,0.3995194,0.003088547,0.002921001,0.001094129,0.002125181,0.0003429686,0.02627247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009097344,"threshold_uncertainty_score":0.03122449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082779118968708,"score_gpt":0.269715539481926,"score_spread":0.2188877482922389,"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."}}