{"id":"W4293795497","doi":"10.48550/arxiv.2104.03107","title":"Two-Stage Robust Quadratic Optimization with Equalities and its Application to Optimal Power Flow","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mathematical optimization; Quadratic equation; Optimization problem; Set (abstract data type); Affine transformation; Sequence (biology); Ellipsoid; Computer science; Mathematics; Power flow; Electric power system; Power (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004891852,0.001665084,0.001995524,0.0007907908,0.0005048633,0.00150963,0.001487519,0.00183143,0.003405473],"category_scores_gemma":[0.009331129,0.00092756,0.001311479,0.001137313,0.00159008,0.001997403,0.002446686,0.002478268,0.0003531565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347678,"about_ca_system_score_gemma":0.001316092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005012244,"about_ca_topic_score_gemma":0.002735907,"domain_scores_codex":[0.9981602,0.0008680609,0.00008049329,0.0003621143,0.0003795725,0.0001496556],"domain_scores_gemma":[0.9966395,0.002434782,0.0002551781,0.0001885508,0.0003773335,0.0001046076],"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":[0.00003591312,0.00002255356,0.0000890873,0.0000491291,0.00002026023,0.00003226393,0.00002731556,0.9739455,0.000505986,0.01837487,0.0002238085,0.006673374],"study_design_scores_gemma":[0.000003530834,0.00001439976,0.00001354614,0.000002268976,0.000002069481,0.000003281155,0.000001644648,0.9956983,0.0001724453,0.003964722,0.0001205438,0.000003213825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004665739,0.0002042829,0.993059,0.0001388901,0.00002148775,0.00003155433,0.0000206027,0.0000840057,0.001774434],"genre_scores_gemma":[0.6257963,0.0004498079,0.3662357,0.0001739873,0.0001015778,0.0003279313,0.0001617366,0.0002195709,0.00653332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005012244,"threshold_uncertainty_score":0.02587092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280434409188444,"score_gpt":0.2384115950983919,"score_spread":0.1103681541795475,"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."}}