{"id":"W4416817025","doi":"10.2139/ssrn.5805802","title":"When Strategic Customers Meet Strategic Servers: Individual and Social Optimization in Many-Server Queueing Systems","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Queueing theory; Strategic planning; Government (linguistics); Process (computing); Key (lock)","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":[0.005924618,0.0008199957,0.002789697,0.001260895,0.00194439,0.005616437,0.002885687,0.004338355,0.006278961],"category_scores_gemma":[0.02131703,0.001342908,0.001138496,0.001465588,0.003764144,0.006770947,0.002623806,0.003023227,0.0003432727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004226668,"about_ca_system_score_gemma":0.00373277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047708,"about_ca_topic_score_gemma":0.01035627,"domain_scores_codex":[0.9967598,0.00137965,0.0001173829,0.0004678364,0.0003302305,0.0009451226],"domain_scores_gemma":[0.982941,0.01251306,0.001697831,0.0003217804,0.0007779763,0.00174838],"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":[0.0004490811,0.0003491347,0.008282764,0.0001962873,0.0002642484,0.0006591022,0.0007735328,0.6037339,0.001121208,0.3655215,0.007981483,0.01066775],"study_design_scores_gemma":[0.0000484847,0.000065658,0.002274865,0.00002261829,0.0000496042,0.00007655196,0.0008568556,0.7404495,0.0001910924,0.2553603,0.0005476228,0.00005685924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7556316,0.001202637,0.1995598,0.01459683,0.0003107276,0.00021842,0.0004372849,0.0001978446,0.02784487],"genre_scores_gemma":[0.9934683,0.0002809759,0.00291578,0.0002328063,0.0001002154,0.00003788051,0.00004844058,0.0000364423,0.002879123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047708,"threshold_uncertainty_score":0.03133273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155865138246879,"score_gpt":0.2482741757229273,"score_spread":0.2267155243404585,"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."}}