{"id":"W4210554480","doi":"10.23952/asvao.4.2022.1.05","title":"A new algorithm for solving strongly monotone equilibrium and multivalued variational inequality problems","year":2022,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variational inequality; Monotone polygon; Mathematics; Inequality; Applied mathematics; Algorithm; Mathematical optimization; Mathematical economics; Mathematical analysis; Geometry","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":[0.0008837414,0.0002317795,0.0004255383,0.0005354477,0.000591234,0.0003598986,0.0003073917,0.00006819042,0.0001648841],"category_scores_gemma":[0.00003966883,0.0002409952,0.0001497476,0.002098276,0.00002523509,0.0004357211,0.0003740141,0.0001248704,7.916369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008491945,"about_ca_system_score_gemma":0.0001263554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001772391,"about_ca_topic_score_gemma":0.00001022094,"domain_scores_codex":[0.9977608,0.0001138017,0.0005564975,0.0007634394,0.0005309444,0.0002745736],"domain_scores_gemma":[0.9987697,0.0001642894,0.0003782646,0.00032276,0.0001925316,0.0001724688],"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":[0.00001306852,0.0000599449,0.0002442786,0.000007933998,0.0005409374,1.925683e-7,0.0005872464,0.9395799,0.00009113481,0.05216259,0.00006740569,0.006645372],"study_design_scores_gemma":[0.001179475,0.00004948704,0.0008538097,0.000001630713,0.0005533243,0.000001310161,0.0001091095,0.9937305,0.0000249321,0.003112165,0.00009958773,0.0002846333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003316745,0.00007888228,0.9981493,0.0005872473,0.00005181397,0.0004910695,0.0000743753,0.0001069695,0.0001286344],"genre_scores_gemma":[0.1186131,0.00002394431,0.8795347,0.0002582321,0.00007352764,0.000205052,0.00101424,0.00001803509,0.0002591837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1186146,"threshold_uncertainty_score":0.98275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732701639872876,"score_gpt":0.2494597300952741,"score_spread":0.2321327136965454,"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."}}