{"id":"W2125407417","doi":"","title":"Control of Loss Network Systems: Call Admission and Routing Control","year":2007,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"Hamilton–Jacobi–Bellman equation; Mathematics; Optimal control; Mathematical optimization; Markov process; Piecewise; Routing (electronic design automation); Stochastic control; Bellman equation; Admission control; Scalar (mathematics); Computer science; Computer network; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003133881,0.0003661629,0.0006901747,0.0004552682,0.0003292501,0.0001924824,0.0003694998,0.0002505518,0.00002365929],"category_scores_gemma":[0.0006769776,0.000348096,0.0001776053,0.000771033,0.0001365148,0.0007611776,0.0001641877,0.0003365079,0.0000104131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492133,"about_ca_system_score_gemma":0.00004149019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005515775,"about_ca_topic_score_gemma":0.0006870066,"domain_scores_codex":[0.9974111,0.00007036547,0.0008466988,0.0004498366,0.0003682828,0.000853752],"domain_scores_gemma":[0.9978173,0.0004064428,0.0008344965,0.0005706693,0.0002740826,0.00009706011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001438125,0.0002445542,0.3841469,0.0004351037,0.0003758956,0.0002180932,0.00007565607,0.1363688,0.009264692,0.447764,0.00119376,0.01847439],"study_design_scores_gemma":[0.003475938,0.00007055186,0.02855176,0.0005186967,0.0005880583,0.00006258734,0.0002344881,0.9402559,0.0005855192,0.01052672,0.01418195,0.0009478459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1286268,0.002089411,0.8663809,0.0007385921,0.0001608757,0.0007079685,0.00000989682,0.0004737263,0.0008118075],"genre_scores_gemma":[0.9931868,0.00003253153,0.003079699,0.002391049,0.0009685698,0.00006060142,0.00001170005,0.00007153488,0.0001974957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.86456,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006319042155151192,"score_gpt":0.2149702032510529,"score_spread":0.2086511610959017,"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."}}