{"id":"W4417072362","doi":"10.1016/j.cnsns.2025.109549","title":"Viscosity-type algorithms with acceleration techniques for variational inequalities and demicontractive mappings with applications in cybersecurity investments and classification problems","year":2025,"lang":"en","type":"article","venue":"Communications in Nonlinear Science and Numerical Simulation","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"Center of Excellence in Theoretical and Computational Science, King Mongkut's University of Technology Thonburi; King Mongkut's University of Technology North Bangkok; King Mongkut's University of Technology Thonburi","keywords":"Inertial frame of reference; Convergence (economics); Variational inequality; Lipschitz continuity; Acceleration; Extrapolation; Hilbert space; Operator (biology); Inverse problem","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":[0.003714091,0.002463833,0.001895356,0.002467717,0.001030094,0.002039156,0.002917751,0.003093247,0.00519124],"category_scores_gemma":[0.01419414,0.001339513,0.001914445,0.002049213,0.002042242,0.003580964,0.003631146,0.006445473,0.0009449846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668955,"about_ca_system_score_gemma":0.002569813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553627,"about_ca_topic_score_gemma":0.005648078,"domain_scores_codex":[0.9989727,0.0004624623,0.00006462183,0.0001386589,0.0002544349,0.000107142],"domain_scores_gemma":[0.995699,0.0029657,0.0002838598,0.0002423845,0.0005693015,0.000239813],"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":[0.0002050697,0.0002488287,0.0007703389,0.0003181297,0.0001258069,0.0001298674,0.0002440676,0.46164,0.002342985,0.3666501,0.006728554,0.1605962],"study_design_scores_gemma":[0.00002168968,0.00003490115,0.00006675496,0.00002762283,0.000009112317,0.00001833646,0.00001311951,0.9526474,0.0003266749,0.04493771,0.001885944,0.00001074598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002521789,0.0004817589,0.9940664,0.0003446405,0.0002093515,0.00004382102,0.00002061422,0.0001181605,0.002193503],"genre_scores_gemma":[0.1547656,0.001256068,0.8297585,0.0004035619,0.0003849122,0.0004732271,0.0001870185,0.0003314651,0.01243952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00553627,"threshold_uncertainty_score":0.01964217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463713228434112,"score_gpt":0.3410683606949563,"score_spread":0.2964312284106152,"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."}}