{"id":"W2037030364","doi":"10.1016/j.mcm.2012.10.029","title":"A continuous review<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si35.gif\" display=\"inline\" overflow=\"scroll\"><mml:mrow><mml:mo>(</mml:mo><mml:mi>s</mml:mi><mml:mo>,</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math>inventory system with priority customers and arbitrarily distributed lead times","year":2012,"lang":"lv","type":"article","venue":"Mathematical and Computer Modelling","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Type (biology); Computer science; Poisson distribution; Algorithm; Economic shortage; Mathematics; Operations research; Statistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007358612,0.001318866,0.001224223,0.005500109,0.0009253532,0.004736998,0.002713589,0.002793442,0.05278884],"category_scores_gemma":[0.01902793,0.0007733032,0.001327359,0.007147582,0.001870437,0.006541483,0.00163362,0.005069643,0.03469542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006368689,"about_ca_system_score_gemma":0.007556287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007108103,"about_ca_topic_score_gemma":0.005773498,"domain_scores_codex":[0.9967613,0.0005696903,0.0002491483,0.000383221,0.001871937,0.0001647753],"domain_scores_gemma":[0.9714409,0.006042807,0.0007974322,0.001870048,0.01829999,0.001548866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002506032,0.0000547819,0.0001856023,0.001160558,0.00002757419,0.00004009619,0.00005747558,0.0008508517,0.0003415878,0.02880234,0.8510364,0.1174176],"study_design_scores_gemma":[0.000003972944,0.00002592098,0.0004967964,0.000781973,0.00001421064,0.00007470859,0.00003613832,0.0009057867,0.0002164948,0.006286881,0.9911423,0.0000147745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001864369,0.6059616,0.04693582,0.1130212,0.1203757,0.0001745438,0.002746125,0.000966668,0.107954],"genre_scores_gemma":[0.02436872,0.6585252,0.03237482,0.01452886,0.08333103,0.0002304594,0.005028376,0.001409987,0.1802025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05278884,"threshold_uncertainty_score":0.1765963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925236071729048,"score_gpt":0.2176891046543442,"score_spread":0.1984367439370537,"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."}}