{"id":"W1977167986","doi":"10.1016/s0166-5316(02)00087-1","title":"A performance analysis of a discrete-time queueing system with server interruption for modeling wireless ATM multiplexer","year":2002,"lang":"en","type":"article","venue":"Performance Evaluation","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multiplexer; Queueing theory; Computer science; Computer network; Layered queueing network; Wireless; Queueing system; Real-time computing; Multiplexing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005443005,0.0002240558,0.0003652643,0.0003345643,0.0001160604,0.00002185067,0.0001125093,0.00009021971,0.00005659685],"category_scores_gemma":[0.00001021406,0.000209426,0.00008994256,0.0009506915,0.00002157713,0.001044387,0.0000160388,0.00009717154,0.00001253516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641908,"about_ca_system_score_gemma":0.000009655137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005561837,"about_ca_topic_score_gemma":0.00001534331,"domain_scores_codex":[0.9984902,0.00003618358,0.0004773978,0.0002299603,0.000452659,0.0003135779],"domain_scores_gemma":[0.9991262,0.00003840762,0.0001644061,0.0002793048,0.000341943,0.00004974732],"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":[0.00005743793,0.00001665911,0.005294557,0.0003261419,0.000258459,3.674759e-8,0.0007932252,0.9707983,0.0007694978,0.000008757001,0.000003406676,0.02167352],"study_design_scores_gemma":[0.0007075134,0.00006988423,0.002374965,0.0003228454,0.0008248705,0.000001411555,0.00009926949,0.9944559,0.0008841922,3.385327e-7,0.000002863419,0.0002559966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6785366,0.0001356472,0.3204204,0.000003123557,0.00007372291,0.000511934,0.000005885028,0.0001541345,0.000158547],"genre_scores_gemma":[0.9927648,0.0001249896,0.006404195,0.000003027548,0.00009022505,0.0003373116,0.0001935855,0.00005675994,0.00002510627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3142282,"threshold_uncertainty_score":0.8540142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147146219320217,"score_gpt":0.2537607558979556,"score_spread":0.2222892937047534,"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."}}