{"id":"W4399855184","doi":"10.18280/isi.290329","title":"Enhancement of Data Center Transmission Control Protocol Performance in Network Cloud Environments","year":2024,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Protocol (science); Data center; Transmission (telecommunications); Computer network; Data transmission; Center (category theory); Telecommunications; Operating system; Medicine","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":[0.002252288,0.0005047996,0.0003368518,0.0004599204,0.0005527931,0.001040614,0.0008193318,0.0003330126,0.0007115355],"category_scores_gemma":[0.008682821,0.0001082166,0.0001354533,0.0004958433,0.0003263455,0.00146123,0.0004947242,0.0005978716,0.0001518083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009994955,"about_ca_system_score_gemma":0.001244677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004001346,"about_ca_topic_score_gemma":0.002176754,"domain_scores_codex":[0.9986707,0.0003309829,0.0000761769,0.0001531335,0.0004435182,0.0003255347],"domain_scores_gemma":[0.9958549,0.001647956,0.0004162387,0.0004438137,0.001447152,0.0001899476],"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":[0.004118699,0.001361615,0.02620518,0.0005443699,0.0001451295,0.0006143157,0.0004790017,0.2995939,0.2480882,0.01024277,0.004968488,0.4036383],"study_design_scores_gemma":[0.00008228237,0.001272395,0.007992761,0.00002402337,0.00007555164,0.0002195115,0.000136122,0.8671768,0.1195003,0.001109068,0.002370806,0.00004039297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635731,0.001333256,0.1234805,0.0004927346,0.0001551923,0.0001751847,0.00007687607,0.002148947,0.00856422],"genre_scores_gemma":[0.9928842,0.0001390827,0.006555207,0.00002940296,0.00001580609,0.00001363098,0.00003028627,0.00002206854,0.0003103942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004001346,"threshold_uncertainty_score":0.01191133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218642248259217,"score_gpt":0.2531926911418891,"score_spread":0.2310062686592969,"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."}}