{"id":"W2803462634","doi":"10.23977/jeis.2018.31011","title":"Research and Implementation of Server Load Balancing Strategy in Service System","year":2018,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"File Transfer Protocol; Bottleneck; Computer science; Intranet; Download; Extranet; Service (business); Database; Computer network; Operating system; The Internet; Embedded system","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":[0.0007304978,0.0005476598,0.0004653417,0.0008642264,0.001074008,0.001803223,0.001385537,0.0005871623,0.003167356],"category_scores_gemma":[0.001390157,0.0002188827,0.0002739668,0.0007453109,0.0003775065,0.002194155,0.000578739,0.0005408551,0.0008537397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222509,"about_ca_system_score_gemma":0.001454077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004132881,"about_ca_topic_score_gemma":0.002155409,"domain_scores_codex":[0.9991247,0.0001754371,0.00005055018,0.00015624,0.0002757777,0.0002173376],"domain_scores_gemma":[0.9994212,0.00007672801,0.00003409649,0.0000691036,0.0003249087,0.00007393851],"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":[0.0006751464,0.0005295799,0.01016978,0.0006615751,0.0001086441,0.000569884,0.001299512,0.08205693,0.1072401,0.05992898,0.01584505,0.7209148],"study_design_scores_gemma":[0.00007286982,0.0004158375,0.003844693,0.00006527941,0.00008746888,0.000348009,0.0008686972,0.9087593,0.03974915,0.01329177,0.03244198,0.00005492907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2515719,0.005499678,0.6954245,0.001838824,0.000648703,0.0004331246,0.0001284324,0.004726936,0.03972796],"genre_scores_gemma":[0.9447936,0.001342772,0.04672267,0.0001645351,0.0001960424,0.00009211487,0.0001801747,0.0001181163,0.006389854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004132881,"threshold_uncertainty_score":0.01059586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226528577192867,"score_gpt":0.3336015078466226,"score_spread":0.3113362220746939,"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."}}