{"id":"W2356867728","doi":"","title":"Task Partitioning Algorithm based on Rollback for Parallel Network Simulation","year":2011,"lang":"en","type":"article","venue":"Microcomputer Information","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Subnet; Rollback; Metis; Partition (number theory); Parallel computing; Graph partition; Task (project management); Router; Network simulation; Distributed computing; Graph; Theoretical computer science; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100688,0.0001154049,0.00008730505,0.00009141052,0.0001218928,0.00005529044,0.00007811991,0.00007205671,0.00002302036],"category_scores_gemma":[0.000002536745,0.0001256338,0.00005566042,0.0001176486,0.000007419795,0.0004344869,0.000007547373,0.0000634602,0.0001430993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004422636,"about_ca_system_score_gemma":0.000009830178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002527471,"about_ca_topic_score_gemma":6.983491e-7,"domain_scores_codex":[0.9993515,0.000007238444,0.0003042047,0.00007913831,0.0000807796,0.000177115],"domain_scores_gemma":[0.9995984,0.0000550861,0.00005626954,0.0001507464,0.00009421406,0.00004528999],"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":[0.00001012892,0.00001010664,0.0000249843,0.00001470004,0.000006844366,2.541371e-8,0.0003592857,0.931876,0.000006210549,0.0002642948,0.002176767,0.06525064],"study_design_scores_gemma":[0.0005837049,0.0000255429,0.0004358699,0.00001850676,0.00000772051,2.864802e-7,0.000007214144,0.9480602,0.0001453888,0.0004611003,0.05011761,0.0001368951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001368192,0.000006302947,0.9958283,0.00001895675,0.0001501769,0.0004988798,0.0000174857,0.0004060935,0.001705641],"genre_scores_gemma":[0.5798978,0.000001420369,0.4186416,0.0006846929,0.0001537518,0.0001555046,0.0004396499,0.00001553358,0.00001004407],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5785296,"threshold_uncertainty_score":0.5123197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363118122621444,"score_gpt":0.2246242350695114,"score_spread":0.200993053843297,"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."}}