{"id":"W4406611750","doi":"10.1109/idicaiei61867.2024.10842849","title":"Model Agnostic Predictive Smart Load Balancer in Microservices Environment","year":2024,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microservices; Computer science; Distributed computing; Operating system; Cloud computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002971641,0.0001152039,0.0001215366,0.0000590637,0.00003465628,0.00009877136,0.0004040473,0.00006360497,0.00003957325],"category_scores_gemma":[0.00000795707,0.00008391233,0.00004584695,0.0001938222,0.00002988917,0.0005066317,0.000200524,0.0001199027,0.0004553871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212118,"about_ca_system_score_gemma":0.0001263856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001380802,"about_ca_topic_score_gemma":0.00004519567,"domain_scores_codex":[0.998862,0.00002291227,0.0002068337,0.0004306363,0.0002544965,0.0002231076],"domain_scores_gemma":[0.9994363,0.00008785704,0.00001660626,0.0003935954,0.00001598568,0.00004967304],"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":[0.00007528913,0.0009133484,0.3234794,0.002371346,0.0002025619,0.0002367941,0.02983665,0.5175962,0.004930546,0.01232024,0.01505936,0.09297825],"study_design_scores_gemma":[0.000116912,0.00003694862,0.01360415,0.00009998825,0.000003112176,0.000005068698,0.00001707652,0.9817275,0.0004685542,0.001876345,0.001922397,0.0001219633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2974344,0.002647448,0.6899891,0.001236512,0.0009260526,0.0004486627,0.00000893697,0.0005855418,0.0067233],"genre_scores_gemma":[0.9931848,0.0001413133,0.00562586,0.0002221916,0.00003384145,0.0000532366,0.000001224082,0.000005891321,0.0007316539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6957504,"threshold_uncertainty_score":0.5853232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009043322444544144,"score_gpt":0.2227171900553874,"score_spread":0.2136738676108433,"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."}}