{"id":"W4399662193","doi":"10.37376/glj.vi71.5845","title":"EXPERT SYSTEM FOR TRAFFIC DETECTION IN DISTRIBUTED NETWORKS","year":2024,"lang":"en","type":"article","venue":"المجلة الليبية العالمية","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Network traffic control; Distributed computing; Network packet; Traffic generation model; Resource (disambiguation); Stability (learning theory); Computer network; State (computer science); Control (management); 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":[0.001938481,0.0008210021,0.0007664534,0.001252513,0.0004917908,0.001251473,0.00127447,0.001122133,0.01743898],"category_scores_gemma":[0.00911259,0.0003122733,0.0003965466,0.0005848369,0.0003058308,0.001018152,0.0009211822,0.00086846,0.004811657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005653872,"about_ca_system_score_gemma":0.001050867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714026,"about_ca_topic_score_gemma":0.002829599,"domain_scores_codex":[0.9989893,0.000337045,0.0001150165,0.0001998659,0.0002842364,0.00007454021],"domain_scores_gemma":[0.9966308,0.001989844,0.0001706888,0.0002584225,0.0008225827,0.0001275437],"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":[0.002036441,0.0007122639,0.004552795,0.001380547,0.0001656733,0.001695781,0.001124606,0.1052801,0.03363754,0.01746468,0.08848212,0.7434674],"study_design_scores_gemma":[0.0002155714,0.0001650918,0.001871174,0.0001350541,0.00004880295,0.0003959814,0.0001902494,0.9240294,0.01503937,0.01014143,0.04770142,0.00006665403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02214465,0.0002894493,0.8793022,0.0003524784,0.0002281959,0.001025015,0.002563062,0.08212005,0.01197492],"genre_scores_gemma":[0.2546233,0.0002931342,0.7233663,0.0002275475,0.0000688687,0.001567157,0.003172547,0.001058787,0.01562233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01743898,"threshold_uncertainty_score":0.05833918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008894013381858983,"score_gpt":0.223831382608579,"score_spread":0.21493736922672,"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."}}