{"id":"W4290991029","doi":"10.1145/3544216.3544248","title":"DeepQueueNet","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Chinese University of Hong Kong; National Natural Science Foundation of China","keywords":"Computer science; Scalability; Discrete event simulation; Estimator; Speedup; Visibility; Network topology; Queueing theory; Distributed computing; Artificial intelligence; Computer engineering; Simulation; Computer network; Parallel computing","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":[0.0007023438,0.0009451511,0.0006093372,0.000475171,0.0003542534,0.001049103,0.002342392,0.0009172042,0.009345029],"category_scores_gemma":[0.002952224,0.0004804493,0.0005727603,0.0004929113,0.0004852338,0.001784442,0.001091623,0.001701846,0.001406892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120361,"about_ca_system_score_gemma":0.001584727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012099,"about_ca_topic_score_gemma":0.01494438,"domain_scores_codex":[0.9997254,0.00006240961,0.00001688707,0.00007511841,0.00007784858,0.00004233494],"domain_scores_gemma":[0.9992361,0.0003727862,0.00005670369,0.0001613536,0.0001247834,0.00004821622],"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":[0.0002062744,0.0001144942,0.002250285,0.0001806976,0.00007713935,0.0001075896,0.00004758222,0.8753798,0.002136757,0.02290956,0.01590649,0.08068339],"study_design_scores_gemma":[0.000009235671,0.00001302992,0.00005879899,0.000006138049,0.000002935744,0.000009448777,0.000003555572,0.9918988,0.0008655917,0.004842378,0.002286101,0.000003955942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05748594,0.001135284,0.8903934,0.0008824158,0.0004036857,0.0002388647,0.003287061,0.02689906,0.01927435],"genre_scores_gemma":[0.6123797,0.0009139562,0.36172,0.0007546775,0.00008177837,0.0005068661,0.008432792,0.001836795,0.0133734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012099,"threshold_uncertainty_score":0.03126222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004937365578942918,"score_gpt":0.1751348836474344,"score_spread":0.1701975180684915,"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."}}