{"id":"W7067687368","doi":"","title":"A Mirror Inertial Forward–Reflected–Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness","year":2024,"lang":"en","type":"article","venue":"Kyushu University Institutional Repository (QIR) (Kyushu University)","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Convexity; Inertial frame of reference; Smoothness; Convergence (economics); Lipschitz continuity; Minification; Function (biology); Bregman divergence; Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002635925,0.001282043,0.0008433319,0.00133958,0.000874092,0.001753126,0.001552877,0.001546646,0.006131513],"category_scores_gemma":[0.006889638,0.000506092,0.001388739,0.0005569766,0.002203499,0.004130648,0.004781594,0.002941565,0.001015094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203065,"about_ca_system_score_gemma":0.00130248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524589,"about_ca_topic_score_gemma":0.0009085395,"domain_scores_codex":[0.9994459,0.0001758971,0.00003302357,0.0001258439,0.000156409,0.00006299849],"domain_scores_gemma":[0.9981805,0.0005577321,0.0001489339,0.0002995845,0.0005467767,0.0002664232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001704292,0.00007190772,0.0007064928,0.0001144528,0.00004738319,0.0001559814,0.0002524641,0.03647944,0.01040626,0.919693,0.003452565,0.02844958],"study_design_scores_gemma":[0.00002533209,0.000123633,0.0003680509,0.00004356175,0.0000351559,0.0001412405,0.00008395305,0.6191693,0.003163177,0.3731192,0.003702323,0.00002504613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03050668,0.0003088154,0.9432964,0.0007504525,0.0002018192,0.00007327436,0.00008265845,0.0001287291,0.02465129],"genre_scores_gemma":[0.6097824,0.0007467828,0.3321519,0.000688111,0.0003790722,0.0002583343,0.0004053781,0.0007157495,0.05487222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006131513,"threshold_uncertainty_score":0.02051193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007193889408642458,"score_gpt":0.1876220343808692,"score_spread":0.1804281449722267,"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."}}