{"id":"W2525450965","doi":"10.1117/12.2249385","title":"Modeling and performance analysis of QoS data","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Queueing theory; Quality of service; Petri net; Distributed computing; Stochastic Petri net; Data transmission; Data modeling; Transmission (telecommunications); Computer network; Real-time computing; Database; Telecommunications","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":[0.001164911,0.000653566,0.0004309654,0.0008117848,0.0003937396,0.001493855,0.001139129,0.0006672996,0.001409605],"category_scores_gemma":[0.003226039,0.0002842422,0.0006134792,0.0006432671,0.0007096755,0.001550795,0.0004661739,0.0007589036,0.0002635859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908193,"about_ca_system_score_gemma":0.001405797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006661402,"about_ca_topic_score_gemma":0.001470426,"domain_scores_codex":[0.9988623,0.0002352832,0.00005697106,0.0001522784,0.0005878073,0.0001053629],"domain_scores_gemma":[0.9987661,0.0005482528,0.00011553,0.0001740603,0.000355228,0.00004084684],"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":[0.00005599841,0.00004803375,0.001086206,0.00008614297,0.00002351701,0.00006661109,0.00007758373,0.9020823,0.008277308,0.07639491,0.0003177616,0.01148364],"study_design_scores_gemma":[0.000002230594,0.00001349463,0.00009285448,0.000005754498,0.000005284413,0.00001195882,0.000006322274,0.9920403,0.0020778,0.004965916,0.0007735553,0.000004380966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08887053,0.001181294,0.8987291,0.000375874,0.00009330358,0.00006158774,0.0002409242,0.0005764174,0.009871044],"genre_scores_gemma":[0.9220374,0.001460375,0.07172202,0.00004985824,0.0000686753,0.00009648787,0.0002946706,0.0001172991,0.004153121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006661402,"threshold_uncertainty_score":0.01384503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627992101066635,"score_gpt":0.2252682192514248,"score_spread":0.2089882982407585,"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."}}