{"id":"W2059733923","doi":"10.3182/20060607-3-it-3902.00032","title":"STOCHASTIC HYBRID NETCAD SYSTEMS FOR MODELING CALL ADMISSION AND ROUTING CONTROL IN NETWORKS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"State space; Stochastic process; Hybrid system; State (computer science); Routing (electronic design automation); Computer science; Mathematical optimization; Markov process; Continuous-time stochastic process; Piecewise; Event (particle physics); Call Admission Control; Stochastic optimization; Mathematics; Algorithm; Computer network; Wireless network; Wireless","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":[0.0006552104,0.0002403329,0.000381988,0.0002546541,0.0002546241,0.0004104549,0.0001561937,0.00007891151,0.000003004386],"category_scores_gemma":[0.0003149157,0.0002361251,0.00007160778,0.0002898304,0.00003417734,0.001067753,0.00007869827,0.0001628985,0.000004713081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005858941,"about_ca_system_score_gemma":0.000008868956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004701003,"about_ca_topic_score_gemma":0.00002563378,"domain_scores_codex":[0.9984759,0.000003747622,0.0004507074,0.0004359007,0.0001623436,0.0004713821],"domain_scores_gemma":[0.9993156,0.00007448793,0.0002826683,0.00007611627,0.0002299383,0.00002125232],"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":[0.0001867436,0.00003386605,0.007409413,0.0002439981,0.00002464881,0.000002642627,0.00002487311,0.9732532,0.0002701404,0.01638194,0.0004759486,0.00169259],"study_design_scores_gemma":[0.0009423461,0.00001052682,0.00008448066,0.0002530112,0.000101525,0.00000332377,0.00019078,0.9901158,0.00000274727,0.007359921,0.0006559835,0.0002795265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5162822,0.001203629,0.4807969,0.0002210376,0.0001850548,0.0006841859,0.000002576843,0.0002264563,0.0003979813],"genre_scores_gemma":[0.9975463,0.000005790986,0.0002823703,0.0001836004,0.001612853,0.00009405392,0.00001391608,0.00004809469,0.0002130766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4812641,"threshold_uncertainty_score":0.9628901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008539682152051352,"score_gpt":0.2118844286723703,"score_spread":0.2033447465203189,"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."}}