{"id":"W4297990391","doi":"10.18280/ria.360419","title":"Network Data Center Traffic Predictive Model Analysis Based on Machine Learning","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mean squared error; Support vector machine; Computer science; Random forest; Artificial neural network; Boosting (machine learning); Machine learning; Data mining; Gradient boosting; Artificial intelligence; Decision tree; Statistics; Mathematics","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":[0.001299496,0.0006996605,0.0008590918,0.001173075,0.0004136088,0.0007875879,0.0008402818,0.0005414581,0.0007691738],"category_scores_gemma":[0.003125107,0.0002688471,0.0007361664,0.0009717742,0.000291934,0.0009185444,0.0003916344,0.00110938,0.000206132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009945352,"about_ca_system_score_gemma":0.0008953447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791339,"about_ca_topic_score_gemma":0.008072004,"domain_scores_codex":[0.9994999,0.000166369,0.00002371689,0.0001182804,0.0001273256,0.00006436433],"domain_scores_gemma":[0.9988556,0.0006888294,0.00008340848,0.00008629711,0.0002604317,0.00002548385],"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":[0.00003382685,0.00004059226,0.001835558,0.00001594036,0.00001951572,0.00001724843,0.00001443182,0.9784532,0.0003694117,0.0008214639,0.0002539798,0.01812486],"study_design_scores_gemma":[5.00123e-7,0.000003820525,0.0001454756,9.191934e-7,0.000001271396,0.000001817223,0.000001670341,0.99942,0.0001345427,0.0002605111,0.00002827415,0.000001119265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2587335,0.0003739646,0.7348928,0.0003813619,0.0000516289,0.00009665069,0.0003611307,0.001998456,0.003110376],"genre_scores_gemma":[0.9642966,0.0001526585,0.03424836,0.00003461074,0.00002155526,0.00007667715,0.0003823222,0.00003959106,0.0007474914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01791339,"threshold_uncertainty_score":0.03561825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433637043268979,"score_gpt":0.2612479290970765,"score_spread":0.2178842247701786,"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."}}