{"id":"W2989913882","doi":"10.1016/j.ejor.2019.11.041","title":"Comparison of fluid approximations for service systems with state-dependent service rates and return probabilities","year":2019,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Service (business); Bistability; Queueing theory; Ordinary differential equation; Applied mathematics; Stochastic differential equation; Set (abstract data type); Differential equation; Mathematical optimization; Mathematics; Physics; Mathematical analysis; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005032504,0.001057933,0.002337813,0.002094131,0.001412913,0.002802614,0.002595133,0.002500488,0.001859033],"category_scores_gemma":[0.02055955,0.0007042137,0.001343879,0.001984072,0.001831291,0.00269628,0.001667847,0.002402214,0.000375928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00428297,"about_ca_system_score_gemma":0.003803997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02837247,"about_ca_topic_score_gemma":0.00911263,"domain_scores_codex":[0.9978222,0.0009301704,0.0001040639,0.0001522491,0.0005896104,0.0004017416],"domain_scores_gemma":[0.9850366,0.01137184,0.000670851,0.000608343,0.001790421,0.0005219716],"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":[0.0001105646,0.0000430584,0.0003951759,0.00004714127,0.0000187142,0.00002966009,0.0000988385,0.9808132,0.0002747143,0.0140418,0.0003184973,0.003808669],"study_design_scores_gemma":[0.000005058162,0.00001285206,0.00005346543,0.000008458345,0.000004546169,0.000004493985,0.00001933039,0.9974856,0.00008350764,0.002200043,0.0001167199,0.000005785776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2194888,0.003686554,0.7603497,0.001220651,0.0005362034,0.0001755308,0.0003217962,0.0007805067,0.01344027],"genre_scores_gemma":[0.9441322,0.001492787,0.0498454,0.0001915056,0.0001572996,0.0001274765,0.0003013519,0.0002588265,0.003493035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02837247,"threshold_uncertainty_score":0.05641466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0762223104135542,"score_gpt":0.3469369497810108,"score_spread":0.2707146393674566,"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."}}