{"id":"W4313054659","doi":"10.23952/jnva.6.2022.2.09","title":"Coderivatives and Aubin properties of solution mappings for parametric vector variational inequality problems","year":2022,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chongqing Municipal Education Commission; Chongqing University of Arts and Sciences; Natural Science Foundation of Chongqing; Chongqing University","keywords":"Parametric statistics; Mathematics; Applied mathematics; Inequality; Variational inequality; Mathematical analysis; Pure mathematics; Statistics","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":[0.001563021,0.0001137409,0.0003985278,0.0008999147,0.0003098092,0.00008394737,0.0002367686,0.00003660891,0.00005254275],"category_scores_gemma":[0.0003894625,0.00009575562,0.0002273347,0.00202283,0.00003777065,0.000467254,0.0001400159,0.0001202683,1.79776e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005993559,"about_ca_system_score_gemma":0.000203279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004733477,"about_ca_topic_score_gemma":0.000004860193,"domain_scores_codex":[0.9980701,0.0002094104,0.0007664021,0.0002146624,0.0006255328,0.0001139531],"domain_scores_gemma":[0.9976206,0.0003302139,0.0009709613,0.0001086444,0.0008976121,0.00007193255],"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":[0.0002704563,0.001238613,0.03258934,0.0001745024,0.00664232,0.000001428959,0.003545708,0.7012019,0.004543562,0.2479906,0.0001775098,0.001624035],"study_design_scores_gemma":[0.0006032138,0.0001617754,0.05211147,0.00000643563,0.0004745014,0.000009884268,0.00005880233,0.9422308,0.0000542207,0.003807503,0.0003681955,0.000113173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0276196,0.0003020157,0.9678032,0.003976411,0.00006772589,0.0001210437,0.00009021336,0.00000829587,0.00001152646],"genre_scores_gemma":[0.8410879,0.0000464586,0.1585113,0.000140346,0.00008083451,0.00001513134,0.00004973555,0.000004363506,0.00006387405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8134683,"threshold_uncertainty_score":0.3904801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762258843415435,"score_gpt":0.2555168940061241,"score_spread":0.2178943055719698,"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."}}