{"id":"W2111071057","doi":"10.1137/060660345","title":"Distributed Selfish Load Balancing","year":2007,"lang":"en","type":"article","venue":"SIAM Journal on Computing","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Nash equilibrium; Computer science; Convergence (economics); Binary logarithm; Martingale (probability theory); Distributed algorithm; Load balancing (electrical power); Resource allocation; Upper and lower bounds; Mathematical optimization; Distributed computing; Mathematics; Combinatorics; Applied mathematics; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388031,0.0005203918,0.0007459917,0.0003904823,0.0008664742,0.001376963,0.001932647,0.0008189108,0.003743517],"category_scores_gemma":[0.004234329,0.0003236725,0.0003181184,0.0004364521,0.001053229,0.002003245,0.002034165,0.0006266276,0.0006186727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017413,"about_ca_system_score_gemma":0.0008201747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004836,"about_ca_topic_score_gemma":0.0009908519,"domain_scores_codex":[0.9989336,0.0002865924,0.0000479517,0.0002549562,0.0002974482,0.0001793571],"domain_scores_gemma":[0.9982452,0.0006265228,0.0002895056,0.0004139864,0.0002344466,0.0001903565],"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":[0.0008706241,0.0001846967,0.001676763,0.000186061,0.0001199391,0.000467348,0.0005125047,0.6957894,0.02240853,0.2085415,0.005409209,0.06383342],"study_design_scores_gemma":[0.00005252363,0.0000629151,0.0001749446,0.000006502677,0.00001109945,0.00009048703,0.00004280346,0.9533351,0.001933689,0.04148679,0.00279134,0.00001193958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08155029,0.0002650155,0.9045224,0.0006570722,0.0001135616,0.0001394989,0.00009109412,0.0007430756,0.01191798],"genre_scores_gemma":[0.9521438,0.0001327953,0.04102444,0.0001291439,0.00006044862,0.0001456994,0.00006898019,0.00004571538,0.006248832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003743517,"threshold_uncertainty_score":0.01252335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05869518664568,"score_gpt":0.3854828848329976,"score_spread":0.3267876981873176,"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."}}