{"id":"W4210658354","doi":"10.23952/asvao.4.2022.1.08","title":"The connectedness of weakly and strongly efficient solution sets of nonconvex vector equilibrium problems","year":2022,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bộ Giáo dục và Ðào tạo","keywords":"Social connectedness; Mathematics; Applied mathematics; Mathematical economics; Pure mathematics; Mathematical optimization; Combinatorics; Social psychology; Psychology","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":[0.0006126862,0.0001359319,0.0003259012,0.0003160958,0.0004223609,0.00008791146,0.000269739,0.00004092749,0.00004536463],"category_scores_gemma":[0.00002771331,0.0001110988,0.0001020157,0.002257534,0.00009365469,0.00008292721,0.0002932207,0.00008399453,3.05173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003636965,"about_ca_system_score_gemma":0.0000634505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007398578,"about_ca_topic_score_gemma":0.00001396264,"domain_scores_codex":[0.9983255,0.0001571603,0.0005068645,0.0003663271,0.0004775529,0.0001665964],"domain_scores_gemma":[0.998746,0.0001439725,0.0005043971,0.0003173664,0.0002274969,0.0000607814],"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":[0.00001659466,0.00006127319,0.0002640979,0.00001332504,0.0003078947,9.627196e-8,0.0005626569,0.961454,0.0007846793,0.03586084,0.00001301119,0.0006614781],"study_design_scores_gemma":[0.0003713777,0.00005172927,0.002222953,0.000002495228,0.0003805398,8.176153e-7,0.0002442234,0.9961844,0.0002288467,0.000167687,0.0000251488,0.0001197643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04047224,0.0001898535,0.9583768,0.0003942325,0.00005196845,0.0002461438,0.00003053501,0.0000325923,0.0002056501],"genre_scores_gemma":[0.9763555,0.0000421997,0.02335542,0.00003164687,0.000008996637,0.00003890074,0.0001230165,0.000007399726,0.00003689474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9358833,"threshold_uncertainty_score":0.4530478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009999585336952473,"score_gpt":0.2210726748218997,"score_spread":0.2110730894849472,"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."}}