{"id":"W4401285986","doi":"10.23952/jnva.8.2024.5.04","title":"Several accelerated iterative algorithms for the multiple-set split common fixed-point problem of quasi-nonexpansive operators","year":2024,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tianjin Municipal Education Commission","keywords":"Fixed point; Algorithm; Set (abstract data type); Point (geometry); Computer science; Iterative method; Mathematics; Mathematical optimization; 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":[0.000921271,0.0001627868,0.0004653244,0.0005493934,0.0002066012,0.0003788953,0.0003782306,0.00006758729,0.0000855159],"category_scores_gemma":[0.0001152795,0.0001018787,0.0004730595,0.00188998,0.00003894381,0.0007145001,0.00007630536,0.0001784833,0.000002044078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004976722,"about_ca_system_score_gemma":0.0002449374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006756876,"about_ca_topic_score_gemma":0.00003261457,"domain_scores_codex":[0.9981644,0.0001310902,0.0008473207,0.0002414742,0.0004779915,0.0001377674],"domain_scores_gemma":[0.9967955,0.001157813,0.0004315181,0.00015822,0.001368325,0.00008861867],"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":[0.000159018,0.0005302017,0.004698389,0.00009017572,0.0161781,0.00001745269,0.006342059,0.8848916,0.0003955553,0.07649566,0.001057801,0.009143937],"study_design_scores_gemma":[0.0004345087,0.0001462231,0.00472001,0.00002477059,0.001041673,0.00001550608,0.0001213709,0.9910728,0.0001179145,0.001339077,0.0008449511,0.0001211936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003217652,0.0003493937,0.9903815,0.005536523,0.000125951,0.0001523996,0.0001996501,0.00001423292,0.00002271021],"genre_scores_gemma":[0.6395391,0.000172157,0.359079,0.0004293621,0.000368392,0.0000138487,0.0001485109,0.00001178789,0.0002377545],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6363215,"threshold_uncertainty_score":0.4154493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956636066207737,"score_gpt":0.3069010079058518,"score_spread":0.2773346472437744,"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."}}