{"id":"W4384574993","doi":"10.23952/jano.5.2023.2.03","title":"Existence and stability to vector optimization problems via improvement sets","year":2023,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bộ Giáo dục và Ðào tạo","keywords":"Vector optimization; Optimization problem; Mathematical optimization; Stability (learning theory); Mathematics; Parametric statistics; Continuous optimization; Computer science; Applied mathematics; Multi-swarm optimization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004013534,0.001330179,0.001080084,0.001328568,0.0007851259,0.001928506,0.001079273,0.00134824,0.00286226],"category_scores_gemma":[0.01072477,0.0005945312,0.001122663,0.000855901,0.002587311,0.002929192,0.003177441,0.002503699,0.0004051516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201734,"about_ca_system_score_gemma":0.001041845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008873537,"about_ca_topic_score_gemma":0.0004252175,"domain_scores_codex":[0.998391,0.0008118141,0.00007117473,0.000261572,0.0003484999,0.0001159097],"domain_scores_gemma":[0.9956853,0.002972194,0.0004152171,0.0001597075,0.0006158837,0.0001516702],"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":[0.00009066943,0.00006035671,0.0006330507,0.0002685668,0.00006711621,0.0001132427,0.0004336484,0.180201,0.006822429,0.7866252,0.0008338902,0.02385086],"study_design_scores_gemma":[0.00001583354,0.0001279292,0.0002077024,0.00004192518,0.00001672912,0.00007242426,0.00008342781,0.8460354,0.002154566,0.1487245,0.00250067,0.00001890935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0372632,0.0008430462,0.9534141,0.0004840086,0.00004051847,0.00006248183,0.00003323455,0.00007105158,0.007788454],"genre_scores_gemma":[0.7998191,0.001895774,0.1855339,0.000220131,0.0001822642,0.0004418618,0.0001862505,0.0001732977,0.01154742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004013534,"threshold_uncertainty_score":0.02122587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426477507537297,"score_gpt":0.2345883864871621,"score_spread":0.2203236114117892,"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."}}