{"id":"W4393443251","doi":"10.23952/jano.6.2024.2.07","title":"On approximate positively properly efficient solutions in nonsmooth semi-infinite multiobjective optimization problems with data uncertainty","year":2024,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematical optimization; Multi-objective optimization; Mathematics; Applied mathematics; Computer science","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":[0.003873718,0.001211112,0.001249199,0.0008238367,0.0004309256,0.001316115,0.0006463884,0.001278849,0.001522376],"category_scores_gemma":[0.009188578,0.0005436828,0.0008789075,0.0005426423,0.001723859,0.001741226,0.001968867,0.001299812,0.0002249661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611562,"about_ca_system_score_gemma":0.0008655933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007155045,"about_ca_topic_score_gemma":0.0004867201,"domain_scores_codex":[0.99902,0.0005176526,0.00005335448,0.0001169785,0.0002132611,0.00007876735],"domain_scores_gemma":[0.9973825,0.001759487,0.00032241,0.0001349404,0.0003193617,0.00008124823],"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":[0.00007148053,0.00004197281,0.0006465267,0.0002395978,0.00005738344,0.0001976764,0.0001513594,0.6711608,0.00539927,0.307543,0.0005848831,0.01390597],"study_design_scores_gemma":[0.000006681342,0.00004542944,0.0001213743,0.00003596288,0.000007335149,0.00003261458,0.00003323524,0.9536931,0.001098426,0.04433738,0.0005793972,0.000009033546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02437961,0.0002700065,0.9716573,0.0002289488,0.00002366156,0.00003896197,0.00004202529,0.00003358454,0.003325844],"genre_scores_gemma":[0.7708161,0.0009330307,0.2231664,0.0002016013,0.00006097772,0.000386938,0.0002172898,0.0001341746,0.004083456],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003873718,"threshold_uncertainty_score":0.02048641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607393967970721,"score_gpt":0.2352659826367703,"score_spread":0.219192042957063,"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."}}