{"id":"W4240841027","doi":"10.1002/cpe.1577","title":"A formalized approach for designing a P2P‐based dynamic load balancing scheme","year":2010,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Computer science; Quality of service; Load balancing (electrical power); Distributed computing; Emulation; Scheduling (production processes); Computer network; Engineering; Grid","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":[0.001764289,0.0005054623,0.0003714238,0.000625324,0.00115101,0.002164874,0.001866683,0.001137221,0.002971852],"category_scores_gemma":[0.003513002,0.0004554225,0.0007584886,0.0006458465,0.001587563,0.00243039,0.001846411,0.001590667,0.0007355364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427119,"about_ca_system_score_gemma":0.001985817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092279,"about_ca_topic_score_gemma":0.00207559,"domain_scores_codex":[0.9989319,0.000324649,0.0001031217,0.0001671362,0.00037597,0.0000972104],"domain_scores_gemma":[0.9992015,0.0002597209,0.00008896849,0.0001961136,0.0001881912,0.0000655176],"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":[0.00008365291,0.0001451677,0.000435913,0.0002084985,0.00004966245,0.0003714155,0.000534284,0.1614811,0.02198901,0.756875,0.002373329,0.05545307],"study_design_scores_gemma":[0.00008985388,0.00009112459,0.0001345606,0.00003894718,0.00003923333,0.0002317105,0.0001045458,0.8643036,0.009297576,0.1042846,0.02135507,0.00002919803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003515306,0.00002578489,0.9937595,0.0001707063,0.00001700968,0.0001391307,0.00001864944,0.0001709487,0.002182993],"genre_scores_gemma":[0.1944501,0.000153289,0.8011083,0.0000992917,0.00003089531,0.0006203909,0.00008158412,0.00005899356,0.00339713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002971852,"threshold_uncertainty_score":0.01035446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011401221474497,"score_gpt":0.3180770782938474,"score_spread":0.2979630660791024,"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."}}