{"id":"W4241674788","doi":"10.23952/asvao.2.2020.1.04","title":"Bounded perturbation resilience of generalized viscosity iterative algorithms for split variational inclusion problems","year":2020,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tianjin Municipal Education Commission","keywords":"Bounded function; Perturbation (astronomy); Resilience (materials science); Mathematics; Viscosity; Applied mathematics; Inclusion (mineral); Algorithm; Mathematical analysis; Physics; Thermodynamics","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":[0.0004838883,0.0002105066,0.0004562441,0.0003387332,0.0006001003,0.0002144921,0.0003475059,0.0001090944,0.00006444815],"category_scores_gemma":[0.0001074917,0.0001940946,0.0001828747,0.002591104,0.0000485165,0.0005112934,0.0003148279,0.00007256999,0.000001359506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005010482,"about_ca_system_score_gemma":0.00008642622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003401113,"about_ca_topic_score_gemma":0.000007055208,"domain_scores_codex":[0.9978799,0.0001113505,0.0006313304,0.0006630043,0.0005329783,0.0001814999],"domain_scores_gemma":[0.9984182,0.0001302708,0.0005109324,0.0002480532,0.0005565985,0.0001359988],"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":[0.00003122767,0.00005073522,0.0001070333,0.00002069601,0.0003080364,8.864185e-8,0.00257959,0.8063731,0.0004771938,0.1894137,0.00002647029,0.0006122135],"study_design_scores_gemma":[0.0008319552,0.0000630085,0.000558036,0.000005013404,0.000465073,2.508721e-7,0.00004154246,0.9916162,0.0004880209,0.005649826,0.0000647932,0.0002163195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008339197,0.00004412287,0.9962025,0.002111278,0.00002713387,0.0004636589,0.00004508561,0.00006689093,0.0002054385],"genre_scores_gemma":[0.3175039,0.00006235734,0.6806087,0.0007666297,0.00005649794,0.00006059636,0.0008651848,0.000009793344,0.00006631079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.31667,"threshold_uncertainty_score":0.7914946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026381069082769,"score_gpt":0.2556318934823674,"score_spread":0.2353680827915397,"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."}}