{"id":"W4247419636","doi":"10.23952/asvao.1.2019.2.06","title":"An iterative algorithm for solving equilibrium problems, variational inequalities and fixed point problems of multivalued quasi-nonexpansive mappings","year":2019,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variational inequality; Fixed point; Mathematics; Iterative method; Point (geometry); Mathematical optimization; Applied mathematics; Algorithm; Mathematical analysis; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001186515,0.0002926265,0.0006995564,0.0006718821,0.0002054471,0.0003829481,0.0002846541,0.0001362624,0.00008016024],"category_scores_gemma":[0.00006312349,0.0002676352,0.0001621596,0.001469211,0.00005959384,0.001010002,0.0001253207,0.00009093442,0.000001696946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004226184,"about_ca_system_score_gemma":0.00008049285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001176575,"about_ca_topic_score_gemma":0.0000122466,"domain_scores_codex":[0.9973837,0.0001742572,0.000888637,0.00080822,0.0004803808,0.0002647764],"domain_scores_gemma":[0.9976226,0.0003001496,0.0007358746,0.0004106936,0.0008050378,0.0001256562],"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":[0.00001402522,0.0001287829,0.0006102466,0.00006864772,0.000679567,9.372309e-8,0.004849129,0.9266941,0.001558644,0.06369372,0.00001007219,0.001692998],"study_design_scores_gemma":[0.001101504,0.000138106,0.0008336814,0.00002139048,0.0003858566,8.127575e-7,0.0005541799,0.9933331,0.0002750742,0.00302052,0.00001239894,0.0003233499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003277257,0.00005503818,0.9953047,0.0002366839,0.00004053365,0.0007941615,0.00009283577,0.00006485834,0.0001339167],"genre_scores_gemma":[0.3587874,0.00003430782,0.6396372,0.0001890317,0.00003645644,0.0001009704,0.001097825,0.00001736421,0.00009942695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3556675,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407262393020252,"score_gpt":0.2446236824347782,"score_spread":0.2305510585045757,"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."}}