{"id":"W4401963879","doi":"10.1002/nav.22224","title":"Double‐sided queues and their applications to vaccine inventory management","year":2024,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Queue; Computer science; Stationary distribution; Markov process; Queueing theory; Abandonment (legal); Mathematical optimization; Markovian arrival process; Operations research; Markov chain; Mathematics; Statistics; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002172436,0.000208635,0.0002254971,0.001003565,0.0003959087,0.0006854914,0.0004831118,0.00007199435,0.0001515619],"category_scores_gemma":[0.0004565304,0.000173289,0.0000719604,0.001818138,0.000148368,0.0003831235,0.0008977833,0.0004223609,0.001021723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390056,"about_ca_system_score_gemma":0.00002888211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002494571,"about_ca_topic_score_gemma":0.0001986234,"domain_scores_codex":[0.997994,0.00004389914,0.0002924878,0.0006080414,0.0005085999,0.0005529665],"domain_scores_gemma":[0.9986039,0.0003946775,0.00004430476,0.0005383466,0.0003548428,0.00006397007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001331925,0.00007189558,0.0001656684,0.0005937495,0.000147,0.00006114166,0.00008444033,0.0009014231,0.0006196684,0.9547579,0.01133572,0.03112817],"study_design_scores_gemma":[0.0003885686,0.00002751298,0.0001656645,0.0002012112,0.00008754723,0.000002097745,0.0007101801,0.02023897,0.0002099675,0.432577,0.5450723,0.0003189649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05990595,0.008428059,0.5255712,0.02003344,0.00111192,0.006798843,0.00007299755,0.002697734,0.3753799],"genre_scores_gemma":[0.9916191,0.0001846343,0.0007436304,0.0005244191,0.001137674,0.0003954294,0.00005418975,0.00005826547,0.005282709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9317131,"threshold_uncertainty_score":0.9997561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039018131681508,"score_gpt":0.386004280316702,"score_spread":0.2821024671485512,"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."}}