{"id":"W4381489648","doi":"10.1007/s11075-023-01589-8","title":"Alternated inertial algorithms for split feasibility problems","year":2023,"lang":"en","type":"article","venue":"Numerical Algorithms","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Deblurring; Monotonic function; Algorithm; Mathematics; Theory of computation; Convergence (economics); Inertial frame of reference; Subsequence; Set (abstract data type); Hilbert space; Mathematical optimization; Image (mathematics); Image processing; Computer science; Image restoration; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002009701,0.001039386,0.001215322,0.001409633,0.0008000291,0.001431795,0.002305297,0.001529289,0.01051929],"category_scores_gemma":[0.008597259,0.001012543,0.0009768407,0.001247616,0.001542732,0.002824807,0.004018692,0.002743444,0.001647687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000581041,"about_ca_system_score_gemma":0.001105866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326521,"about_ca_topic_score_gemma":0.002510249,"domain_scores_codex":[0.9991129,0.0003408862,0.00005076698,0.0001095989,0.0003012884,0.00008452957],"domain_scores_gemma":[0.9971794,0.001699809,0.0001904774,0.000356435,0.0004160971,0.0001579104],"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":[0.0004616248,0.0002402825,0.001037975,0.0002767685,0.00008368344,0.0001418006,0.0003235429,0.5202554,0.003535154,0.2893876,0.005122355,0.1791338],"study_design_scores_gemma":[0.00004226558,0.00005046871,0.00007797322,0.00001701833,0.000009061892,0.00002224641,0.00002040965,0.9477969,0.0004688255,0.04954755,0.001938543,0.000008788249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007670906,0.00014279,0.9879405,0.0001120759,0.0000741543,0.00003382921,0.00004121774,0.0001377706,0.003846779],"genre_scores_gemma":[0.1932855,0.0002528052,0.7991673,0.0001549971,0.0001284927,0.0005106201,0.0002811285,0.0004243062,0.005794815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051929,"threshold_uncertainty_score":0.03519052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06135734977768593,"score_gpt":0.3175204641062478,"score_spread":0.2561631143285619,"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."}}