{"id":"W4402055661","doi":"10.23977/acss.2024.080512","title":"Construction of Traffic Collection Network for Banking Data Centers","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Business; Computer network; Computer science; Telecommunications; Transport engineering; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006623729,0.0001067976,0.0002137783,0.0001237114,0.00008711923,0.0002021528,0.0004337836,0.00003382822,4.31e-7],"category_scores_gemma":[0.000003739736,0.00009343293,0.00003433709,0.0004036262,0.00003532862,0.000099868,0.0002535995,0.00006432721,4.010718e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002288618,"about_ca_system_score_gemma":0.00001767063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231902,"about_ca_topic_score_gemma":0.000007881814,"domain_scores_codex":[0.9987815,0.0000770426,0.000350582,0.0004558516,0.0001413923,0.0001936097],"domain_scores_gemma":[0.9992287,0.0002994545,0.0000909053,0.0003234991,0.00002960597,0.0000278783],"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":[0.000004867217,0.00001207894,0.0001556241,0.0003758582,0.00002374169,0.000004063075,0.000237317,0.7185405,0.00000425323,0.009024056,0.0006672345,0.2709504],"study_design_scores_gemma":[0.0001840926,0.00009393101,0.00003556009,0.000730361,0.000006360296,0.00002754767,0.00003228764,0.9815484,0.000003779781,0.000789606,0.01644791,0.0001002162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03430714,0.0171024,0.9439585,0.0001073922,0.004010081,0.0003285959,0.000004696932,0.0001046861,0.00007646257],"genre_scores_gemma":[0.9448919,0.0002005373,0.05426957,0.00002761206,0.0005556492,0.0000158291,0.000005653482,0.000008607542,0.00002465749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9105847,"threshold_uncertainty_score":0.3810084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237629047899806,"score_gpt":0.2690431836009817,"score_spread":0.2452802788110011,"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."}}