{"id":"W4247997362","doi":"10.1109/wsc.2005.1574304","title":"Channel Based Sequential Simulation","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Winter Simulation Conference, 2005.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete event simulation; Computer science; Asynchronous communication; Timestamp; Queue; Event (particle physics); Implementation; Parallel computing; Algorithm; Distributed computing; Real-time computing; Simulation; Computer network; Programming language","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":[0.0008342039,0.0005188282,0.0008454834,0.000531815,0.0006532512,0.001113497,0.001095823,0.0006884043,0.01032709],"category_scores_gemma":[0.00267034,0.0002716688,0.0005436697,0.00067785,0.0006814409,0.00133163,0.001406224,0.0007486684,0.001237481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008737614,"about_ca_system_score_gemma":0.002049947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004844218,"about_ca_topic_score_gemma":0.003910269,"domain_scores_codex":[0.9991333,0.000202626,0.00003970572,0.0001495968,0.0003617691,0.0001130671],"domain_scores_gemma":[0.9982694,0.0008704676,0.00009514049,0.0002820848,0.0003623191,0.000120581],"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":[0.0002842623,0.00007779099,0.001068208,0.000100121,0.00003265085,0.0001247336,0.00007401816,0.8397459,0.004472973,0.09550732,0.003604276,0.0549078],"study_design_scores_gemma":[0.00002461685,0.00002765905,0.00005721706,0.000003607356,0.000008053787,0.0000241065,0.000006577097,0.9812142,0.001133632,0.01446588,0.003028223,0.000006285673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009152121,0.000121742,0.9760736,0.0001053735,0.0001114449,0.000111698,0.0001446927,0.001320872,0.01285833],"genre_scores_gemma":[0.6831675,0.0004624272,0.2951619,0.0001812415,0.0001158436,0.0004755275,0.0004775309,0.0003413816,0.01961664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01032709,"threshold_uncertainty_score":0.03454757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019837279917458,"score_gpt":0.3720877354272439,"score_spread":0.2701040074354981,"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."}}