{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.009627775,0.00127812,0.00171397,0.002470281,0.001306908,0.003356449,0.001516035,0.001027699,0.0001706495],"category_scores_gemma":[0.00008103128,0.001408534,0.000561018,0.00148826,0.000241595,0.003247709,0.00116674,0.007388578,0.0000231705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003132601,"about_ca_system_score_gemma":0.00388285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384137,"about_ca_topic_score_gemma":0.005795644,"domain_scores_codex":[0.9900991,0.0006692286,0.002199664,0.001458572,0.001153477,0.004419924],"domain_scores_gemma":[0.9956778,0.0001417795,0.002972724,0.0005088031,0.0006297848,0.00006906932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002291271,0.0001270728,0.0007904889,0.0009270918,0.001510383,0.00003219477,0.0003751867,0.4711305,0.000005357052,0.5242636,0.00001232223,0.000596666],"study_design_scores_gemma":[0.002930362,0.00007636804,0.00009141348,0.001388453,0.002554504,0.00006844188,0.06020709,0.2587644,8.666865e-7,0.6720446,0.0002512174,0.001622239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903296,0.03506652,0.02744807,0.003938389,0.004297067,0.003395588,0.00008284045,0.0004486085,0.02202691],"genre_scores_gemma":[0.9890976,0.006387131,0.0001571802,0.0002610653,0.001900184,0.00004801454,0.0002179625,0.0001204617,0.001810406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2123661,"threshold_uncertainty_score":0.9999971,"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."}}