{"id":"W2104288018","doi":"10.1287/opre.2014.1300","title":"Double-Sided Batch Queues with Abandonment: Modeling Crossing Networks","year":2014,"lang":"en","type":"article","venue":"Operations Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Abandonment (legal); Queue; Computer science; Queueing theory; Function (biology); Order (exchange); Real-time computing; Mathematical optimization; Mathematics; Computer network; Economics","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":[0.001820942,0.0008316403,0.0008546665,0.000913673,0.0006537847,0.002045846,0.002227056,0.001542881,0.002191887],"category_scores_gemma":[0.00482078,0.0006326233,0.0008185113,0.001202645,0.001468685,0.002379676,0.001234244,0.001370961,0.0003114123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002626459,"about_ca_system_score_gemma":0.001460839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206237,"about_ca_topic_score_gemma":0.006078919,"domain_scores_codex":[0.9990916,0.0002284959,0.0000503474,0.0001905172,0.0001793683,0.0002595718],"domain_scores_gemma":[0.9968144,0.001480786,0.0007173491,0.0001961628,0.0003597428,0.000431521],"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":[0.0001229004,0.00007421476,0.002488246,0.0000282077,0.00002804341,0.0002876381,0.0001296327,0.9537294,0.001503832,0.03825975,0.0004130884,0.002935002],"study_design_scores_gemma":[0.000009350678,0.00002716959,0.0001769741,0.000003299489,0.000007435626,0.00002812056,0.00001920733,0.994709,0.0001104245,0.004689897,0.0002114789,0.000007579996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4992169,0.0007756989,0.4896122,0.000752782,0.0001715192,0.0001357444,0.0003492595,0.0002688685,0.008717011],"genre_scores_gemma":[0.9746335,0.0003759136,0.02007712,0.00007977242,0.00005439088,0.0000730204,0.0001066423,0.00002542221,0.004574342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206237,"threshold_uncertainty_score":0.02398431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0602799683063076,"score_gpt":0.3351283300259573,"score_spread":0.2748483617196497,"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."}}