{"id":"W4308866905","doi":"10.4208/jcm.2106-m2020-0209","title":"A Hybrid Viscosity Approximation Method for a Common Solution of a General System of Variational Inequalities, an Equilibrium Problem, and Fixed Point Problems","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Mathematics","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Variational inequality; Mathematics; Viscosity; Applied mathematics; Point (geometry); Inequality; Mathematical economics; Fixed point; Mathematical optimization; Mathematical analysis; Thermodynamics; Physics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002910028,0.0001201911,0.0004448916,0.0003533773,0.0001409942,0.00005895183,0.0003433883,0.00002739164,0.000009594453],"category_scores_gemma":[0.00008909497,0.0001135372,0.0001443957,0.0003103935,0.0000254345,0.0005904693,0.000152412,0.0001041724,1.18047e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247902,"about_ca_system_score_gemma":0.0002840007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001952472,"about_ca_topic_score_gemma":8.850017e-7,"domain_scores_codex":[0.9972354,0.0003720907,0.001304612,0.0001507263,0.0008248324,0.000112378],"domain_scores_gemma":[0.9960075,0.0006288592,0.002127874,0.0001368189,0.001032143,0.00006678358],"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":[0.00002460141,0.0003130234,0.00002609809,0.0003771732,0.00009150822,3.824999e-7,0.001432214,0.5661099,0.0006970595,0.4306121,0.0000469646,0.0002689799],"study_design_scores_gemma":[0.0006641606,0.0003062936,0.0001430479,0.0000465385,0.00006062918,0.0001442839,0.0001417973,0.7857242,0.0001755753,0.2125018,0.000009523073,0.00008218025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01603595,0.00003437402,0.9827721,0.0005763219,0.00007696824,0.0003387461,0.00009665835,0.00001641367,0.00005243841],"genre_scores_gemma":[0.3502798,6.841725e-7,0.6495639,0.00003160107,0.00003162267,0.00001876367,0.00005314572,0.000006512589,0.00001392629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3342439,"threshold_uncertainty_score":0.4629911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730680298502323,"score_gpt":0.2804716966122843,"score_spread":0.253164893627261,"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."}}