{"id":"W2296648693","doi":"","title":"Be Fair and Be Selfish! Characterizing Deterministic Diffusive Load-Balancing Schemes with Small Discrepancy","year":2014,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Rounding; Load balancing (electrical power); Mathematics; Set (abstract data type); Interval (graph theory); Node (physics); Discrete mathematics; Computer science; Spectral gap; Combinatorics; Topology (electrical circuits)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002253111,0.0002671719,0.0003082793,0.0001897128,0.0003529424,0.0001529839,0.0002727449,0.00006506163,0.00004643898],"category_scores_gemma":[0.0001656891,0.0002588085,0.00007654451,0.0005275924,0.0001616349,0.001042155,0.0002626627,0.0001572374,0.00002610976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006372317,"about_ca_system_score_gemma":0.00001908563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009762848,"about_ca_topic_score_gemma":0.0002497523,"domain_scores_codex":[0.9987766,0.00002801549,0.0001520368,0.000606832,0.00008436763,0.0003521559],"domain_scores_gemma":[0.9990301,0.0001257872,0.0002728845,0.0003868138,0.0001435674,0.00004081208],"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":[0.0008443177,0.0003051667,0.2416383,0.0007558474,0.0005485138,0.0007961239,0.0005713266,0.005461171,0.005569843,0.7386938,0.00008757872,0.004728076],"study_design_scores_gemma":[0.008236335,0.0002886895,0.05534603,0.00101029,0.003557854,0.00004998616,0.004674887,0.7415629,0.001188454,0.06842513,0.1110706,0.004588873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635134,0.000008823285,0.0323746,0.0002160802,0.0000540935,0.0001215697,0.000002559048,0.0001993605,0.003509532],"genre_scores_gemma":[0.9975439,0.00001093766,0.0003678923,0.001094425,0.0002122676,9.977975e-7,0.00001576186,0.00003467507,0.0007191757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7361017,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850505152701064,"score_gpt":0.1604615337781992,"score_spread":0.1319564822511886,"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."}}