{"id":"W2753277630","doi":"","title":"Randomized load balancing with a helper","year":2017,"lang":"en","type":"article","venue":"IEEE Conference Proceedings","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Server; Computer science; Queue; Scheduling (production processes); Scalability; Distributed computing; Job shop scheduling; Response time; Load balancing (electrical power); Computer network; Mathematical optimization; Operating system; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008701076,0.0002156514,0.0004046343,0.00006428835,0.0006376848,0.001762506,0.001924226,0.00005458077,0.000009261983],"category_scores_gemma":[0.0001632939,0.0001498121,0.00008627556,0.00009019674,0.0002266779,0.0001670582,0.0004135169,0.0001865538,0.00005829656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005114897,"about_ca_system_score_gemma":0.0001082817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109124,"about_ca_topic_score_gemma":0.000006793015,"domain_scores_codex":[0.9983313,0.00001315673,0.0002200762,0.0005415169,0.0004957039,0.0003982108],"domain_scores_gemma":[0.9985819,0.00004893623,0.0003124015,0.0005182932,0.0004161941,0.000122208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01550644,0.0005721617,0.01607115,0.0008653688,0.0009984241,0.0002902418,0.06374912,0.0007161333,0.007925143,0.6556878,0.01475845,0.2228595],"study_design_scores_gemma":[0.1483731,0.0002977728,0.003206424,0.001209746,0.0001135967,0.0001346947,0.0006147897,0.8172989,0.005765691,0.01239186,0.009037453,0.001555902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7851644,0.00004555519,0.116645,0.004721728,0.0005147257,0.0005378218,2.910801e-7,0.00046371,0.09190675],"genre_scores_gemma":[0.9904324,0.00000599598,0.006285502,0.0002659598,0.0001463697,0.00004414845,7.217817e-8,0.0000111757,0.00280842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8165828,"threshold_uncertainty_score":0.9992738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105677854948769,"score_gpt":0.2431259170052826,"score_spread":0.2220691384557949,"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."}}