{"id":"W2140340598","doi":"10.1109/qest.2006.34","title":"Modeling and Optimization Problems in Contact Centers","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Staffing; Computer science; Scheduling (production processes); Key (lock); Center (category theory); Context (archaeology); Software; Operations research; Industrial engineering; Mathematical optimization; Engineering; Computer security; Programming language; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002100858,0.001282998,0.001430343,0.0009673352,0.0009999727,0.003406468,0.002164636,0.003626443,0.006481406],"category_scores_gemma":[0.005270348,0.0007147125,0.001119164,0.002364532,0.002032136,0.002773917,0.001718817,0.002366425,0.0005779287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003189131,"about_ca_system_score_gemma":0.001863186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458524,"about_ca_topic_score_gemma":0.006542745,"domain_scores_codex":[0.9981312,0.0009361925,0.00007720539,0.000278274,0.0003532484,0.0002238527],"domain_scores_gemma":[0.9983973,0.001087784,0.0001961602,0.00005877037,0.0001307866,0.000129235],"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":[0.0000216357,0.00004531859,0.0002947192,0.0000816875,0.00002195124,0.00009073909,0.00007756627,0.7052926,0.0001688638,0.2876619,0.002653675,0.003589311],"study_design_scores_gemma":[0.00002391987,0.00002122041,0.0001688278,0.00001730691,0.000009429099,0.00002797045,0.00005645796,0.8175556,0.00008672045,0.1775096,0.004510576,0.00001228293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03473042,0.004017559,0.9153727,0.006209239,0.0002750976,0.0001407801,0.0006445553,0.0002403818,0.03836924],"genre_scores_gemma":[0.8028899,0.006634344,0.1331921,0.001037203,0.001055229,0.0009322459,0.0008529552,0.000262937,0.05314308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01458524,"threshold_uncertainty_score":0.02900064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00941203962128346,"score_gpt":0.2017736283941403,"score_spread":0.1923615887728568,"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."}}