{"id":"W4243950804","doi":"10.23952/jnva.5.2021.2.02","title":"A new iterative algorithm for split feasibility and fixed point problems","year":2021,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fixed point; Algorithm; Computer science; Iterative method; Point (geometry); Iterative closest point; Mathematics; Artificial intelligence; Point cloud; Geometry; Mathematical analysis","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":[0.001747392,0.0009462436,0.001117369,0.001049769,0.000561649,0.0008721477,0.001939379,0.001690653,0.003461837],"category_scores_gemma":[0.003997889,0.0005138088,0.001099403,0.0007957341,0.00110564,0.001926936,0.001992298,0.002147328,0.0007262934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858727,"about_ca_system_score_gemma":0.001402957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355138,"about_ca_topic_score_gemma":0.001202989,"domain_scores_codex":[0.999051,0.0002851943,0.00005270923,0.0001411397,0.0003889527,0.00008089912],"domain_scores_gemma":[0.9988463,0.0005089307,0.00008369614,0.00009553898,0.0003947496,0.00007073578],"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":[0.0002154482,0.0001200099,0.0009510771,0.0004019245,0.0001563952,0.0002986012,0.0003978079,0.5004892,0.024392,0.2169582,0.003388406,0.252231],"study_design_scores_gemma":[0.00002109872,0.00007661674,0.00005615786,0.00001496413,0.000009672465,0.0001045657,0.00001581801,0.9802199,0.002043897,0.01481624,0.002607401,0.00001360711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002354683,0.00006516302,0.996704,0.00003187918,0.00002590553,0.00002655595,0.000006635785,0.00005025315,0.0007348901],"genre_scores_gemma":[0.1011763,0.0002193799,0.8938502,0.00006672103,0.00006011507,0.0003723408,0.0000979882,0.00009297221,0.004063935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003461837,"threshold_uncertainty_score":0.011581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205137104709491,"score_gpt":0.2760393804290054,"score_spread":0.2539880093819105,"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."}}