{"id":"W2083594070","doi":"10.1002/nav.10021","title":"Optimal service rates of a service facility with perishable inventory items","year":2002,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inventory control; Operations research; Markov decision process; Service (business); Computer science; Poisson distribution; Exponential distribution; Markov chain; Mathematical optimization; Service level; Linear programming; Inventory theory; Markov process; Mathematics; Business; Statistics; Marketing","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00194901,0.0002829058,0.0003620111,0.0004742673,0.0003594949,0.0003719373,0.0008653961,0.0001286083,0.002804059],"category_scores_gemma":[0.0006793026,0.0002437565,0.00007251513,0.001919321,0.0003229434,0.000689632,0.0007167149,0.0005458602,0.001521456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342191,"about_ca_system_score_gemma":0.00005775958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005708534,"about_ca_topic_score_gemma":0.001059052,"domain_scores_codex":[0.9965039,0.00009505658,0.0004499227,0.0005653,0.001511387,0.000874437],"domain_scores_gemma":[0.9970652,0.0001851802,0.0001822829,0.0006955467,0.001800411,0.00007140693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002929317,0.006628739,0.1815276,0.02384987,0.001191556,0.0007638395,0.004599642,0.04128846,0.005265957,0.1024527,0.616815,0.01268724],"study_design_scores_gemma":[0.002694278,0.0003245773,0.005345428,0.0003245368,0.0001069091,0.000004774824,0.005710796,0.4081594,0.0005300162,0.002110717,0.5737691,0.0009194217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7501731,0.0008922163,0.001508282,0.00863001,0.0006023811,0.002099698,0.00009741292,0.0003411753,0.2356557],"genre_scores_gemma":[0.9934952,0.0000495556,0.0003251625,0.001915343,0.000546982,0.00008692544,0.00009421185,0.00003968503,0.003446943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366871,"threshold_uncertainty_score":0.999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2157233689662252,"score_gpt":0.3332282016677091,"score_spread":0.1175048327014838,"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."}}