{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002755031,0.0006647317,0.0006918315,0.0006819811,0.000735227,0.001625871,0.001217192,0.001008751,0.001789406],"category_scores_gemma":[0.01263641,0.0004111011,0.0005403017,0.001083451,0.003014072,0.002118965,0.001727195,0.001558117,0.0002422781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330982,"about_ca_system_score_gemma":0.001927167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005608106,"about_ca_topic_score_gemma":0.002321591,"domain_scores_codex":[0.9971269,0.001279857,0.0001545933,0.0002444297,0.001013417,0.0001807834],"domain_scores_gemma":[0.995174,0.003467215,0.0002902869,0.0004164443,0.0005007106,0.0001512682],"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":[0.00008213959,0.00003392031,0.0005010337,0.00008167232,0.00002368943,0.00009711564,0.0002003475,0.5365937,0.001220745,0.4287801,0.0006204788,0.03176498],"study_design_scores_gemma":[0.00004195179,0.00003732835,0.00006865898,0.00001892136,0.000009647061,0.00002586444,0.00002705936,0.812408,0.0008595946,0.1814252,0.005065417,0.00001229918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01053787,0.001300839,0.9794056,0.000555582,0.0001521675,0.00006611207,0.00001985374,0.0002173165,0.007744606],"genre_scores_gemma":[0.7601354,0.002496862,0.2310815,0.0002032308,0.0003816152,0.000511293,0.00008407456,0.000127646,0.004978582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005608106,"threshold_uncertainty_score":0.01457018,"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."}}