{"id":"W2969212598","doi":"10.1287/opre.2021.2159","title":"Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems","year":2021,"lang":"en","type":"article","venue":"Operations Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Regret; Robust optimization; Mathematical optimization; Computer science; Minification; Optimization problem; Stochastic optimization; Set (abstract data type); Exploit; Computation; Robustness (evolution); Affine transformation; Stochastic programming; Mathematics; Algorithm","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":[0.006962375,0.002121295,0.001648046,0.0007649747,0.0004314955,0.002577569,0.002071678,0.001609009,0.005909007],"category_scores_gemma":[0.01435038,0.0006748575,0.001850494,0.001073785,0.00154065,0.002272087,0.002242725,0.004817332,0.0009094771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719175,"about_ca_system_score_gemma":0.001577956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054068,"about_ca_topic_score_gemma":0.001404293,"domain_scores_codex":[0.9954509,0.00223726,0.0002218453,0.0006634089,0.001044337,0.0003823041],"domain_scores_gemma":[0.9925982,0.004947742,0.0007248731,0.0006965491,0.0008024283,0.0002302579],"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":[0.00007889798,0.00006421638,0.0002012155,0.0001136327,0.00004112024,0.00006056742,0.00006102964,0.8811433,0.0008528291,0.09969892,0.001560756,0.01612343],"study_design_scores_gemma":[0.00001331517,0.00003317591,0.00005016542,0.000009796705,0.00000609884,0.0000100751,0.000005334428,0.9777615,0.0003747743,0.02107346,0.0006550337,0.000007226924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004140038,0.0002713536,0.9914392,0.0002316806,0.00004204588,0.00005474876,0.00007591513,0.00008146105,0.003663484],"genre_scores_gemma":[0.4896266,0.001227922,0.4970888,0.0004034481,0.0003308183,0.0007105418,0.0004835965,0.0003324299,0.009795928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006962375,"threshold_uncertainty_score":0.03682101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3457333605305196,"score_gpt":0.4837777289242717,"score_spread":0.1380443683937521,"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."}}