{"id":"W2155711415","doi":"10.1109/icct.2000.890901","title":"Synchronization and concurrent control in communication network simulation","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Traverse; Computer science; Synchronization (alternating current); Discrete event simulation; Schedule; Distributed computing; Set (abstract data type); Lock (firearm); Event (particle physics); Computation; Parallel computing; Channel (broadcasting); Computer network; Simulation; Algorithm; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008163829,0.00006618494,0.0001215152,0.0001043492,0.0001224126,0.0001206036,0.0001847796,0.0000536898,0.0009272385],"category_scores_gemma":[0.0003269087,0.00005448296,0.00002065911,0.0006032799,0.00004863783,0.0002425156,0.00003939543,0.00006754213,0.00008397597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002885133,"about_ca_system_score_gemma":0.000004068479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001700868,"about_ca_topic_score_gemma":0.00004282337,"domain_scores_codex":[0.998815,0.0001365179,0.0004434398,0.0002058449,0.0002906538,0.0001085606],"domain_scores_gemma":[0.9980471,0.001267881,0.0001261853,0.0003614749,0.0001567228,0.00004063505],"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":[0.000003763477,0.00007102048,0.06531925,0.00000136512,0.000003018343,1.6685e-7,0.000246009,0.4503366,0.00001587679,0.05921781,0.007941,0.4168442],"study_design_scores_gemma":[0.0003562299,0.00001106587,0.01801459,0.000006141378,0.000002243386,3.891905e-7,0.00003808994,0.9466426,0.000004186893,0.0185696,0.01629174,0.00006313574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02253125,0.0006743231,0.9638139,0.0022265,0.0000420779,0.0005500314,0.00000338408,0.0001110387,0.01004751],"genre_scores_gemma":[0.9977432,0.0000686701,0.001268396,0.000388561,0.00002781758,0.00002850733,0.000005316616,0.000004779034,0.0004647639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9752119,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123689434196415,"score_gpt":0.4057536503325084,"score_spread":0.2820642161360933,"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."}}