{"id":"W4247835158","doi":"10.23952/jano.1.2019.1.06","title":"Karush-Kuhn-Tucker optimality conditions for nonsmooth multiobjective semidefinite and semi-infinite programming","year":2019,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Karush–Kuhn–Tucker conditions; Semidefinite programming; Mathematical optimization; Mathematics; Semidefinite embedding; Computer science; Applied mathematics; Quadratically constrained quadratic program; Quadratic programming","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":[0.0003610198,0.000142322,0.0003054812,0.0001915963,0.000164173,0.0001972161,0.0001400082,0.00008072583,0.00002957684],"category_scores_gemma":[0.00006110156,0.0001210031,0.00008882291,0.0003988309,0.00003840652,0.0005234993,0.00006128372,0.0001319088,0.000003134442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003570629,"about_ca_system_score_gemma":0.0000640975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002904894,"about_ca_topic_score_gemma":1.804623e-7,"domain_scores_codex":[0.9988602,0.0000345365,0.0004537078,0.0002497613,0.0002380403,0.0001637876],"domain_scores_gemma":[0.9986137,0.0002944595,0.0004629249,0.0001209579,0.0003701383,0.0001378924],"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":[0.0001263621,0.0001562316,0.0008648433,0.00003361297,0.0001419525,8.526916e-7,0.0006183857,0.9292493,0.0003326527,0.05919491,0.0000878864,0.00919303],"study_design_scores_gemma":[0.001035874,0.0001865593,0.001589786,0.00001897598,0.00006779144,0.000019346,0.00008090743,0.9933599,0.0001088047,0.001907312,0.001446161,0.0001785965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002461214,0.00005393885,0.99546,0.0006398167,0.0000900326,0.0003004795,0.00000992432,0.00002826097,0.0009563867],"genre_scores_gemma":[0.4216431,0.00009208648,0.577723,0.0003943446,0.00005606166,0.00001536827,0.00002388269,0.00001017023,0.00004195743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4191819,"threshold_uncertainty_score":0.4934364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007635573047310998,"score_gpt":0.2402863197540349,"score_spread":0.2326507467067239,"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."}}