{"id":"W2002372855","doi":"10.1016/j.omega.2011.02.003","title":"An inventory model with random discount offerings","year":2011,"lang":"en","type":"article","venue":"Omega","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick; University of Toronto; Dalhousie University","funders":"","keywords":"Poisson distribution; Stochastic discount factor; Discounting; Random variable; Poisson process; Inventory control; Econometrics; Economics; Process (computing); Mathematical optimization; Computer science; Mathematics; Finance; Statistics; Operations management; Capital asset pricing model","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":[0.003263712,0.001876753,0.003329457,0.001880948,0.001154545,0.005468561,0.003833437,0.005235826,0.01301814],"category_scores_gemma":[0.008490721,0.002539206,0.001673842,0.002911929,0.002745724,0.007522722,0.002017088,0.003830192,0.001594405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004315372,"about_ca_system_score_gemma":0.001908702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345073,"about_ca_topic_score_gemma":0.005688703,"domain_scores_codex":[0.9987306,0.0004527711,0.00006218491,0.0002709244,0.0001669744,0.0003166162],"domain_scores_gemma":[0.9953724,0.003144423,0.0004725372,0.000186934,0.0003302914,0.000493511],"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":[0.0003533651,0.000163117,0.0007505185,0.0001513426,0.00005408574,0.0004036796,0.0001090407,0.8103004,0.0005204593,0.1777966,0.003410592,0.005986774],"study_design_scores_gemma":[0.00008032609,0.00006644264,0.0001705548,0.00002160585,0.00003299448,0.00007365389,0.00003416141,0.962149,0.00007011841,0.0364154,0.00085048,0.00003523146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3529667,0.004214963,0.5306495,0.01100762,0.000780809,0.0003163481,0.004145301,0.001511411,0.09440742],"genre_scores_gemma":[0.8992321,0.00178116,0.01505555,0.0003877087,0.0002877888,0.0001483644,0.0006238845,0.0001403741,0.08234298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01345073,"threshold_uncertainty_score":0.04355001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358210079911643,"score_gpt":0.2075135404670809,"score_spread":0.1716925324759166,"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."}}