{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017425,0.0004218976,0.0004968529,0.001261605,0.001235467,0.0001542337,0.0005553797,0.0003176621,0.00008296388],"category_scores_gemma":[0.00002916597,0.0005372338,0.0003601973,0.002998065,0.0007163142,0.001022242,0.0002721013,0.0005012742,0.0001123897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009396871,"about_ca_system_score_gemma":0.0004332413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122816,"about_ca_topic_score_gemma":0.0004933116,"domain_scores_codex":[0.9977839,0.0001281927,0.0003907026,0.0007824624,0.0004335468,0.0004812001],"domain_scores_gemma":[0.9985998,0.0001492529,0.0001077067,0.0005327876,0.000262832,0.0003476112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009239733,0.0006660174,0.04085765,0.001663368,0.01248617,0.008008758,0.006207059,0.04194466,0.1644039,0.7148895,0.005312126,0.00263687],"study_design_scores_gemma":[0.001916448,0.0001458393,0.03846486,0.0003114925,0.004161792,0.000333486,0.004192127,0.1193942,0.01029059,0.0003974024,0.8180403,0.002351555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144709,0.0004729293,0.02613269,0.0002032418,0.001322649,0.0005010703,0.0002005635,0.001225075,0.05547095],"genre_scores_gemma":[0.9920494,0.0001063795,0.0007947704,0.00001691055,0.0001101388,0.000001599614,0.0000989503,0.00003060056,0.006791266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8127281,"threshold_uncertainty_score":0.9997079,"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."}}