{"id":"W3122309559","doi":"","title":"Social Optimal Location of Facilities with Fixed Servers, Stochastic Demand, and Congestion","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Wilfrid Laurier University","funders":"","keywords":"Server; Queueing theory; Computer science; Service (business); Mathematical optimization; Operations research; Computer network; Engineering; Mathematics; Business","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":[0.00211683,0.001053398,0.001154239,0.001138459,0.001235385,0.002150799,0.001712965,0.003136654,0.008207142],"category_scores_gemma":[0.007555978,0.0008322999,0.001208871,0.0009479315,0.002420441,0.002699308,0.002433516,0.001294694,0.0004685444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005263049,"about_ca_system_score_gemma":0.002418865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149422,"about_ca_topic_score_gemma":0.01088073,"domain_scores_codex":[0.9972523,0.001500895,0.00005878117,0.0002298575,0.0001859833,0.0007722459],"domain_scores_gemma":[0.9963598,0.002038272,0.0005672853,0.0002104824,0.0002766341,0.0005475974],"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":[0.0004359203,0.000168897,0.001524547,0.00009229978,0.00007184093,0.0004880842,0.0001444023,0.7930422,0.0009408079,0.1959541,0.002469487,0.004667399],"study_design_scores_gemma":[0.000266434,0.0002139241,0.001396318,0.00004732921,0.00005857557,0.0001634697,0.0007915014,0.8700528,0.0009559733,0.1235726,0.00240759,0.00007345236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7643273,0.000451574,0.179057,0.004744824,0.00008448188,0.0003475422,0.001325425,0.0002176664,0.04944421],"genre_scores_gemma":[0.9846106,0.0001449183,0.01244274,0.00007780209,0.0000135818,0.0001146581,0.000111351,0.00002214361,0.002462113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149422,"threshold_uncertainty_score":0.03818625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628652870448706,"score_gpt":0.2110048484670429,"score_spread":0.1947183197625558,"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."}}