{"id":"W4366524444","doi":"10.1287/moor.2023.1366","title":"Sensitivity Analysis of the Maximal Value Function with Applications in Nonconvex Minimax Programs","year":2023,"lang":"en","type":"article","venue":"Mathematics of Operations Research","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Minimax; Mathematics; Sensitivity (control systems); Function (biology); Mathematical economics; Duality (order theory); Maximization; Value (mathematics); Mathematical optimization; Bellman equation; Applied mathematics; Combinatorics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001613662,0.00006571008,0.000199196,0.0008934617,0.0001891242,0.00008382015,0.000357552,0.00003696267,0.00001791358],"category_scores_gemma":[0.0001309423,0.00004343592,0.0000894851,0.01200508,0.0001136645,0.0001869643,0.0001773199,0.0001150479,0.00001044889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003456365,"about_ca_system_score_gemma":0.0001598739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001889951,"about_ca_topic_score_gemma":0.0008892576,"domain_scores_codex":[0.9984022,0.0002044472,0.0003266775,0.0001980159,0.0007176155,0.0001510092],"domain_scores_gemma":[0.9982929,0.0003139112,0.0000590539,0.0005817617,0.0007204091,0.00003200831],"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":[0.000003316344,0.00044763,0.007182551,0.00004364087,0.0002666728,5.184208e-7,0.001745402,0.5815942,0.0008379816,0.4073452,0.00002222973,0.0005107444],"study_design_scores_gemma":[0.00009425604,0.00003213515,0.02963616,0.00001377448,0.00006808131,4.270108e-7,0.0004392354,0.9681764,0.0003757373,0.001096098,0.00002176771,0.00004594149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1480383,0.000004805122,0.8491558,0.001389301,0.00001090202,0.0005796467,0.00001206975,0.00003269784,0.0007764975],"genre_scores_gemma":[0.9416212,0.000005037698,0.05779275,0.000007909841,0.000006006068,0.0001249269,0.00003824723,0.000004921166,0.0003989467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.793583,"threshold_uncertainty_score":0.5768042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0643395731625063,"score_gpt":0.3480061711435719,"score_spread":0.2836665979810655,"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."}}