{"id":"W4235579657","doi":"10.23952/asvao.2.2020.2.05","title":"A general iterative algorithm for generalized split feasibility and fixed point problems","year":2020,"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":"Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Fixed point; Algorithm; Iterative method; Mathematical optimization; Mathematics; Computer science; Point (geometry); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759945,0.001068067,0.001023403,0.0008497034,0.0005660955,0.0008661398,0.002017213,0.001657754,0.002951193],"category_scores_gemma":[0.003128124,0.0005130107,0.001237652,0.0008391053,0.001368174,0.001720609,0.002601237,0.001831923,0.0007205774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360136,"about_ca_system_score_gemma":0.001535858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175563,"about_ca_topic_score_gemma":0.001050533,"domain_scores_codex":[0.9990819,0.0002952152,0.00004955463,0.0001632156,0.0003450612,0.0000650894],"domain_scores_gemma":[0.9992853,0.000302437,0.00005382324,0.00008562105,0.0002243756,0.00004839306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001364628,0.00008337459,0.000753927,0.0003479948,0.000163095,0.0002692733,0.0003482435,0.4632078,0.01572653,0.3470326,0.00295339,0.1689774],"study_design_scores_gemma":[0.00002565926,0.0000655566,0.00007129443,0.00001716952,0.0000137149,0.0001266629,0.00002147261,0.9533039,0.0021463,0.04072614,0.003464833,0.0000172722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001467744,0.00003673087,0.9977131,0.00002735895,0.00001240223,0.0000266438,0.000006551062,0.00004331629,0.0006661491],"genre_scores_gemma":[0.07315528,0.0001431152,0.9233818,0.0000708444,0.00003858548,0.0003403584,0.00009803713,0.0001075024,0.002664402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002951193,"threshold_uncertainty_score":0.009872735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265442920692342,"score_gpt":0.2570044855304967,"score_spread":0.2304601934612625,"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."}}