{"id":"W2901363181","doi":"10.4236/jcc.2018.611019","title":"Modeling and Performance Analysis of Weighted Priority Queueing for Packet-Switched Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Queueing theory; Layered queueing network; Computer science; Priority queue; Queue; Bulk queue; Petri net; Computer network; Network packet; Stochastic Petri net; G-network; Mean value analysis; Real-time computing; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0009342373,0.0000928011,0.0003583262,0.00033706,0.0002506227,0.0001028634,0.001048889,0.00005158206,3.756413e-7],"category_scores_gemma":[0.00001275496,0.00008080732,0.00009942721,0.0006339734,0.00008648158,0.0004459058,0.0004938626,0.0001580281,7.761108e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002090297,"about_ca_system_score_gemma":0.00004627465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001121185,"about_ca_topic_score_gemma":0.00001843465,"domain_scores_codex":[0.9988918,0.0001000598,0.0006022899,0.0001245656,0.0001494649,0.0001318217],"domain_scores_gemma":[0.9978524,0.0002727646,0.0003603921,0.000777302,0.0006626913,0.000074479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001518487,0.000402845,0.03541902,0.0001823402,0.003450593,0.000001841764,0.01481068,0.1750877,0.000389238,0.0428215,0.0001679333,0.7271145],"study_design_scores_gemma":[0.0002807793,0.000153967,0.003664766,0.00008962598,0.0001634779,0.00002071148,0.00002277705,0.994859,0.00001946362,0.0005475021,0.00009650926,0.00008139806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3124857,0.001005829,0.6861281,0.0001955304,0.0000856464,0.00005328966,7.373754e-7,0.000009456496,0.00003567241],"genre_scores_gemma":[0.699322,0.0005357946,0.3000096,0.00004461864,0.00008063985,0.000001501024,7.781917e-7,0.000003304128,0.000001663564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8197713,"threshold_uncertainty_score":0.3295227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600345350049187,"score_gpt":0.2938675641432762,"score_spread":0.2578641106427843,"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."}}