{"id":"W4210465835","doi":"10.23952/asvao.4.2022.1.06","title":"Generalized regularized gap functions and error bounds for generalized vector variational-like inequalities","year":2022,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Applied mathematics; Variational inequality; Inequality; Vector-valued function; Mathematical analysis; Pure mathematics","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":[0.004768809,0.001957472,0.001406981,0.001729565,0.0005259632,0.001921552,0.001863961,0.001686109,0.002757688],"category_scores_gemma":[0.01092136,0.0003840193,0.001202734,0.001219478,0.002785676,0.00382705,0.003039817,0.003966004,0.0003923104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670228,"about_ca_system_score_gemma":0.0009787543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453454,"about_ca_topic_score_gemma":0.0006352055,"domain_scores_codex":[0.9977487,0.0009695499,0.0001043627,0.0003432532,0.0006220159,0.0002121136],"domain_scores_gemma":[0.9954666,0.00265435,0.0004720607,0.0003982477,0.0007723639,0.0002363442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001175612,0.00003832257,0.000473522,0.0003677848,0.00007523854,0.0001373851,0.000175212,0.1540712,0.004789642,0.8134133,0.001646559,0.02469432],"study_design_scores_gemma":[0.00001175412,0.00009057206,0.0002154058,0.00006983885,0.00002073177,0.00007328051,0.00005912502,0.7143126,0.00150198,0.2807808,0.002836553,0.00002737601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01980098,0.001937614,0.9698015,0.0005788677,0.000184112,0.00004301727,0.0001170222,0.0001183749,0.007418432],"genre_scores_gemma":[0.7842552,0.003185102,0.1985788,0.0007889371,0.0005643974,0.0003884957,0.0006193062,0.0004065259,0.01121319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004768809,"threshold_uncertainty_score":0.02522016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571082122162705,"score_gpt":0.2636419518460887,"score_spread":0.2279311306244617,"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."}}