{"id":"W4362587963","doi":"10.1287/mnsc.2023.4748","title":"Supermodularity in Two-Stage Distributionally Robust Optimization","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Newsvendor model; Computer science; Mathematical optimization; Robust optimization; Optimization problem; Exploit; Scheduling (production processes); Property (philosophy); Class (philosophy); Affine transformation; Mathematical economics; Supply chain; Mathematics; Artificial intelligence","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":[0.006605013,0.001785539,0.002494947,0.0007442601,0.0005745153,0.001780017,0.002192432,0.001967826,0.005180189],"category_scores_gemma":[0.01040242,0.00122292,0.002249985,0.000866759,0.001967923,0.002848659,0.002287587,0.003008645,0.0005167151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917713,"about_ca_system_score_gemma":0.001741045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207685,"about_ca_topic_score_gemma":0.001713032,"domain_scores_codex":[0.9967282,0.001496728,0.0001301867,0.0006611143,0.0005502122,0.000433448],"domain_scores_gemma":[0.9933631,0.004833295,0.0006819134,0.000427211,0.0004679536,0.0002263542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001018794,0.0000869795,0.0004876757,0.0001685698,0.00010311,0.0001554001,0.00007305956,0.9134241,0.002191248,0.06910349,0.0008069857,0.01329752],"study_design_scores_gemma":[0.00001633667,0.00006509165,0.0001058586,0.000007370165,0.00001010369,0.0000197662,0.00001230817,0.9741716,0.0004343942,0.02480658,0.0003399041,0.00001061534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01255906,0.0002111234,0.9842811,0.0002038686,0.00002152431,0.00006430261,0.0000627284,0.0001040646,0.002492265],"genre_scores_gemma":[0.7238356,0.0004876509,0.2643708,0.000344796,0.0001101694,0.0005428527,0.0002802039,0.0002752075,0.009752708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006605013,"threshold_uncertainty_score":0.03493106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09140125065034992,"score_gpt":0.3913119451967128,"score_spread":0.2999106945463628,"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."}}