{"id":"W4404697948","doi":"10.23952/jnva.5.2021.5.04","title":"Optimality conditions for vector variational inequalities via image space analysis","year":2021,"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":"","keywords":"Variational inequality; Image (mathematics); Mathematics; Space (punctuation); Variational analysis; Inequality; Vector space; Mathematical optimization; Applied mathematics; Computer science; Computer vision; 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":[0.001914833,0.001308502,0.0009741631,0.001400395,0.000554776,0.001903122,0.001129116,0.001204154,0.006158385],"category_scores_gemma":[0.004669298,0.0005386662,0.001191601,0.0007394764,0.001933196,0.003121621,0.002023813,0.003491926,0.00104436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412983,"about_ca_system_score_gemma":0.001483211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134676,"about_ca_topic_score_gemma":0.001804538,"domain_scores_codex":[0.9992066,0.0002773808,0.00004165582,0.0001375389,0.0002537471,0.00008306916],"domain_scores_gemma":[0.9988129,0.0006612943,0.0001145306,0.00004552004,0.0003033586,0.00006239463],"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":[0.00002148726,0.00002644294,0.0001687867,0.0001055302,0.00002195346,0.00007549637,0.00009458842,0.03523064,0.003679792,0.9430921,0.002017407,0.01546585],"study_design_scores_gemma":[0.00001972189,0.0000711347,0.0002348609,0.00005415665,0.00001778515,0.00008356974,0.00006406994,0.5075786,0.002518678,0.4838575,0.005469451,0.00003054224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004192946,0.0003047916,0.9873568,0.000355231,0.00006355379,0.00004954013,0.00008763468,0.00004035297,0.007549094],"genre_scores_gemma":[0.5006778,0.00298699,0.4676879,0.0008251196,0.0007085488,0.000799657,0.0008402749,0.0005334942,0.02494024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006158385,"threshold_uncertainty_score":0.02060187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752172353817168,"score_gpt":0.2924390208997683,"score_spread":0.2749172973615966,"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."}}