{"id":"W4388677249","doi":"10.23952/asvao.5.2023.3.06","title":"Solutions of one class of singular two-person Nash equilibrium games with state and control delays: Regularization approach","year":2023,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nash equilibrium; Regularization (linguistics); Mathematical economics; Class (philosophy); Mathematics; State (computer science); Applied mathematics; Mathematical optimization; Economics; Computer science; Algorithm; Artificial intelligence","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":[0.0009543226,0.0001240753,0.0006814192,0.0002829293,0.00007639391,0.00000633427,0.00003306085,0.0001292185,0.00003786909],"category_scores_gemma":[0.0001023951,0.00009315956,0.00006929518,0.0008241928,0.0004238569,0.00004124548,0.00002289287,0.00009289193,7.873583e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000850057,"about_ca_system_score_gemma":0.00002105062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001203698,"about_ca_topic_score_gemma":0.000002732948,"domain_scores_codex":[0.9989037,0.00008156005,0.000395458,0.0002641415,0.0001487486,0.0002064045],"domain_scores_gemma":[0.9991971,0.0002136999,0.0002063936,0.0001641438,0.0001265745,0.00009205194],"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":[0.0006536533,0.0002223284,0.002292239,0.0003286103,0.002119922,0.000001393083,0.0006804729,0.6912152,0.003469713,0.2984376,0.00001067024,0.0005682275],"study_design_scores_gemma":[0.001457209,0.0001388543,0.001469427,0.00002803973,0.002471911,0.000002491172,0.0002717051,0.9866109,0.000511355,0.00694609,5.698279e-7,0.00009147172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1376846,0.00006422846,0.8603687,0.0002155851,0.000004207558,0.0002556662,0.00001145031,0.00002472881,0.001370816],"genre_scores_gemma":[0.968006,0.00004827244,0.03144928,0.0001049814,0.00001088843,0.00001706977,0.000255916,0.00001056217,0.00009705612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8303214,"threshold_uncertainty_score":0.3798936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521784532319867,"score_gpt":0.2521291570995333,"score_spread":0.2269113117763346,"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."}}