{"id":"W3011455298","doi":"10.1080/03155986.2020.1730676","title":"A survey of nonlinear robust optimization","year":2020,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robust optimization; Mathematical optimization; Optimization problem; Ellipsoid; Computer science; Set (abstract data type); Polyhedron; Nonlinear system; Nonlinear programming; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00733785,0.00009346286,0.0002310383,0.0004427102,0.0002688002,0.0008789824,0.0003121634,0.0001018737,0.0001420816],"category_scores_gemma":[0.007840823,0.00007021977,0.00003087093,0.00166508,0.0001092804,0.002884154,0.0001167182,0.000161344,0.0001882587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002195435,"about_ca_system_score_gemma":0.0003725357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006755245,"about_ca_topic_score_gemma":0.00001863921,"domain_scores_codex":[0.9956024,0.0003530492,0.00126646,0.0001579543,0.002438974,0.0001811066],"domain_scores_gemma":[0.9929233,0.0009019481,0.0002762688,0.0002002613,0.005513519,0.0001847062],"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":[0.00007304341,0.000008256841,0.01369539,0.00001577562,0.000008208868,2.000111e-7,0.001303348,0.9675025,0.000004460916,0.004790148,0.007628096,0.004970622],"study_design_scores_gemma":[0.0003240982,0.00009593137,0.01284453,0.000009981625,0.000001173983,0.000002686381,0.000897078,0.9422368,0.00002414252,0.00001173723,0.04347556,0.00007629913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07330871,0.000539485,0.8737149,0.003474416,0.0005885413,0.002391445,0.001073726,0.00007780427,0.04483103],"genre_scores_gemma":[0.9934644,0.0002653601,0.004954302,0.0002914001,0.0001068972,0.00003128351,0.0005646877,0.000006632659,0.0003150253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9201557,"threshold_uncertainty_score":0.9386764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2975716726628017,"score_gpt":0.4326705183870813,"score_spread":0.1350988457242796,"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."}}