{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001461955,0.0002621742,0.0004092499,0.00036157,0.0007716639,0.0001848487,0.002788012,0.00005202227,0.0004385931],"category_scores_gemma":[0.00007168888,0.0002620024,0.0002973948,0.002372012,0.00004910164,0.0002539557,0.001049988,0.0007383479,0.00008278119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175301,"about_ca_system_score_gemma":0.00006797141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000133929,"about_ca_topic_score_gemma":0.0000492121,"domain_scores_codex":[0.9967418,0.0003413422,0.0006086266,0.001155728,0.0005802988,0.0005721662],"domain_scores_gemma":[0.9980514,0.0002611846,0.0002555521,0.00123946,0.00006960695,0.0001228178],"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":[0.00002957479,0.0002437703,0.0002289833,0.000005703151,0.0001505794,0.00002066713,0.0009541097,0.9794744,0.000002572721,0.01381746,0.000765426,0.004306746],"study_design_scores_gemma":[0.00005310869,0.000201846,0.000005617284,0.00001631901,0.0001338579,0.000004848263,0.0002004955,0.9966306,0.00002073387,0.00004197026,0.002424666,0.0002659229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004134186,0.0001494168,0.9929655,0.0007668555,0.0002537988,0.0001658089,0.00005136557,0.0002228735,0.001290225],"genre_scores_gemma":[0.9925653,0.0000092927,0.00523344,0.0006259126,0.0001006428,0.0000283093,0.0003258759,0.00002141493,0.001089767],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9884312,"threshold_uncertainty_score":0.9999832,"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."}}