{"id":"W4312365152","doi":"10.23952/asvao.4.2022.3.08","title":"A totally relaxed self-adaptive algorithm for solving a variational inequality and fixed point problems in Banach spaces","year":2022,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Israel Science Foundation","keywords":"Variational inequality; Mathematics; Banach space; Fixed point; Point (geometry); Fixed-point theorem; Pure mathematics; Algorithm; Applied mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00136023,0.0002124769,0.0004284335,0.0007379741,0.0005787769,0.00029204,0.0002368596,0.00007223543,0.00007369076],"category_scores_gemma":[0.00004154162,0.0002189537,0.0001188496,0.002803428,0.00002379026,0.0004064464,0.0002809884,0.0001444295,4.971712e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436247,"about_ca_system_score_gemma":0.00009996301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001675762,"about_ca_topic_score_gemma":0.00006127592,"domain_scores_codex":[0.9978248,0.0001689871,0.0005626612,0.0007250091,0.0004701432,0.0002483653],"domain_scores_gemma":[0.9988803,0.0002153224,0.0003648794,0.0002501526,0.0001933316,0.00009607123],"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":[0.00001271944,0.0001226652,0.0005337978,0.000007921738,0.0004477159,4.955396e-7,0.001742394,0.933116,0.00001569225,0.06227478,0.00002005195,0.001705828],"study_design_scores_gemma":[0.001007625,0.00006387386,0.002780076,0.000002828058,0.0003602522,0.000001710377,0.000346139,0.9921432,0.00000597694,0.002992563,0.00003065221,0.0002651486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007459773,0.00006835833,0.9976872,0.0006608719,0.00003093387,0.0004969811,0.00005048998,0.00008668272,0.0001725161],"genre_scores_gemma":[0.284052,0.00004479834,0.7147979,0.0002787976,0.00002415164,0.0002962751,0.000446612,0.00001206548,0.00004741829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.283306,"threshold_uncertainty_score":0.8928674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250071687221059,"score_gpt":0.2274573819270825,"score_spread":0.2149566650548719,"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."}}