{"id":"W4401286375","doi":"10.23952/asvao.6.2024.3.07","title":"Two new inertial relaxed CQ algorithms for a class of bilevel variational inequalities with the split feasibility problem constraints","year":2024,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Bilevel optimization; Variational inequality; Inertial frame of reference; Mathematics; Algorithm; Inequality; Mathematical optimization; Computer science; Artificial intelligence; Optimization problem; Mathematical analysis; Physics; Classical mechanics","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":[0.001005152,0.0002112883,0.0003847491,0.0003897036,0.0002267709,0.0003761454,0.000291197,0.00008127722,0.00009633241],"category_scores_gemma":[0.00005395638,0.00014113,0.0001602379,0.002981325,0.0001266667,0.0003357012,0.000078969,0.0001019999,0.000001546956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005471978,"about_ca_system_score_gemma":0.0003478672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001507528,"about_ca_topic_score_gemma":0.00006557682,"domain_scores_codex":[0.9980827,0.0001142358,0.0005494932,0.0005878095,0.0004707016,0.0001950382],"domain_scores_gemma":[0.9984986,0.0003811117,0.0002590625,0.0003404676,0.0004264833,0.00009423115],"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":[0.00002451489,0.00003083831,0.0001268313,0.00002280963,0.0007073478,1.938043e-7,0.0006581311,0.607708,0.00003594703,0.3881701,0.00010076,0.002414623],"study_design_scores_gemma":[0.0007309485,0.00004202105,0.0005725031,0.0000117613,0.0009154447,0.000001514045,0.0001339895,0.9923446,0.0000545788,0.004916495,0.00008746977,0.0001887114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003138974,0.00006474103,0.9963652,0.0021579,0.00003632508,0.0004784564,0.0000793416,0.00008713966,0.000416975],"genre_scores_gemma":[0.3382212,0.00002019696,0.6606111,0.0002223906,0.00008543886,0.00007096317,0.0004614468,0.00001313634,0.000294129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3846366,"threshold_uncertainty_score":0.5755115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992753773121643,"score_gpt":0.2784316637808924,"score_spread":0.248504126049676,"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."}}