{"id":"W2366915482","doi":"","title":"Load Balancing for Optimistic Parallel Simulation on Multi-core Platform","year":2012,"lang":"en","type":"article","venue":"Jisuanji fangzhen","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Load balancing (electrical power); Parallel computing; Distributed computing; Scheme (mathematics); Virtual machine; Schedule; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006616136,0.000425589,0.0003926389,0.0003120236,0.000756355,0.0005284066,0.00078848,0.000314749,0.001062977],"category_scores_gemma":[0.001551941,0.0002818228,0.000473267,0.0003668313,0.0003629112,0.0006854805,0.0005642922,0.0006186329,0.0001599941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007077014,"about_ca_system_score_gemma":0.001166024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005353194,"about_ca_topic_score_gemma":0.004007995,"domain_scores_codex":[0.999577,0.0001403125,0.0000215374,0.00004494159,0.0001648508,0.00005133901],"domain_scores_gemma":[0.9996257,0.0001358293,0.00005437861,0.00006328829,0.00009188085,0.00002899495],"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":[0.0001126574,0.0000425805,0.001084656,0.00007426413,0.00002249021,0.0000714311,0.0001051433,0.9500358,0.009066377,0.01418416,0.0006023569,0.02459807],"study_design_scores_gemma":[0.00000573444,0.000009017498,0.00007181568,0.000001708228,0.000003011955,0.000005802999,0.000006566122,0.9972125,0.00113211,0.001258658,0.0002903907,0.000002689419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09077787,0.0001965765,0.9024599,0.000218089,0.00005333798,0.0001062597,0.00004572924,0.0008050949,0.005337214],"genre_scores_gemma":[0.8224253,0.0002414896,0.1754253,0.00004240925,0.00002098001,0.0001731373,0.00009204139,0.00007793266,0.001501389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005353194,"threshold_uncertainty_score":0.01064402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3890021434582084,"score_gpt":0.4978862019056272,"score_spread":0.1088840584474188,"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."}}