{"id":"W2606820485","doi":"10.1007/s10898-017-0581-2","title":"A Utility Theory Based Interactive Approach to Robustness in Linear Optimization","year":2017,"lang":"en","type":"article","venue":"Journal of Global Optimization","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Robust optimization; Robustness (evolution); Linear programming; Probabilistic logic; Decision maker; Flexibility (engineering); Convex optimization; Optimization problem","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":[0.004378157,0.001259222,0.001525004,0.00175384,0.0006712545,0.002726091,0.002943214,0.001700441,0.008598138],"category_scores_gemma":[0.01415487,0.0008973107,0.002372096,0.001324617,0.003151214,0.004338747,0.003867851,0.00333922,0.0006507933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928674,"about_ca_system_score_gemma":0.000947286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164337,"about_ca_topic_score_gemma":0.001177076,"domain_scores_codex":[0.9967609,0.001968606,0.0001068341,0.0002983444,0.0006694944,0.00019591],"domain_scores_gemma":[0.9910295,0.007319056,0.0003233715,0.000568529,0.0005262411,0.000233336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000462613,0.00006986634,0.0002354043,0.00007963811,0.00007800943,0.0001080354,0.0001151911,0.2021081,0.0007737781,0.7808045,0.00115586,0.01442538],"study_design_scores_gemma":[0.00001119125,0.00003503827,0.00009515194,0.00001453019,0.00002020638,0.00002092612,0.0000149098,0.683847,0.0002635212,0.3147777,0.0008841398,0.00001582213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004659628,0.0002322932,0.9872227,0.0003594185,0.00004014361,0.00002112537,0.00003171263,0.00006764876,0.007365427],"genre_scores_gemma":[0.7440805,0.0008950253,0.2379942,0.0003465273,0.0005304911,0.0002986211,0.0001384177,0.0002785366,0.01543757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008598138,"threshold_uncertainty_score":0.02876365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06205060786525529,"score_gpt":0.3840288262728486,"score_spread":0.3219782184075933,"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."}}