{"id":"W1781067896","doi":"10.1109/ccece.2001.933767","title":"Modelling with queues: an empirical study","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Fork–join queue; Mirroring; Queue; Queueing theory; Processor sharing; Queue management system; Parallel computing; Distributed computing; Computer network","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":[0.01165122,0.0007543269,0.0007386243,0.002226815,0.001161846,0.003199308,0.002409014,0.002140531,0.002942835],"category_scores_gemma":[0.1038717,0.0005809762,0.0008154825,0.005851908,0.001701862,0.007615921,0.001315876,0.0027046,0.0007247681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571525,"about_ca_system_score_gemma":0.001962891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407955,"about_ca_topic_score_gemma":0.006518563,"domain_scores_codex":[0.9927593,0.003711776,0.0005662592,0.0006943917,0.001820394,0.0004478573],"domain_scores_gemma":[0.898429,0.07988643,0.006809889,0.006799039,0.007092748,0.0009828875],"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":[0.0005421409,0.001919266,0.2791696,0.0009001219,0.0003482718,0.0007112073,0.005451578,0.2935413,0.001467086,0.2811724,0.0214437,0.1133335],"study_design_scores_gemma":[0.0001052114,0.0004851128,0.05690848,0.0003944378,0.0001374398,0.0007264212,0.00296568,0.8078067,0.001568541,0.09913593,0.02962263,0.0001434073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088068,0.008952187,0.145631,0.008369301,0.0002590883,0.0004053273,0.001559678,0.0004994541,0.0255173],"genre_scores_gemma":[0.9779145,0.003806436,0.01514419,0.0003502276,0.0001375549,0.0001427165,0.0007453972,0.00009004441,0.001668865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407955,"threshold_uncertainty_score":0.06161827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05122774552966593,"score_gpt":0.2758637575456106,"score_spread":0.2246360120159447,"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."}}