{"id":"W7117851726","doi":"","title":"Baillon-Bruck-Reich revisited: divergent-series parameters and strong convergence in the linear case","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sequence (biology); Convergence (economics); Bounded function; Fixed point; Constant (computer programming); Work (physics)","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":[0.0007839561,0.0003062672,0.0003686531,0.0002912697,0.0006308326,0.0003026787,0.0007669896,0.000122835,0.0002551132],"category_scores_gemma":[0.0003502856,0.0002484808,0.0001449132,0.002328075,0.0002272258,0.0008644782,0.0003940795,0.0003226095,0.00007837443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006559527,"about_ca_system_score_gemma":0.0001608004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005595909,"about_ca_topic_score_gemma":0.0001984863,"domain_scores_codex":[0.9973652,0.0004475583,0.000679329,0.0007639859,0.0003423996,0.0004015667],"domain_scores_gemma":[0.998324,0.0003654676,0.000216134,0.0007378002,0.0002416524,0.0001149924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003156645,0.0001438551,0.9538692,0.00007654463,0.0001963057,0.0003973519,0.003029498,0.01015779,0.00002632357,0.02978853,0.0004157673,0.001867331],"study_design_scores_gemma":[0.000839067,0.0001210531,0.2654063,0.0001623317,0.0002722942,0.0001451907,0.001755153,0.7276191,0.0001862127,0.0003788743,0.002576611,0.0005378103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809029,0.001394711,0.1052678,0.01061037,0.0006831043,0.0004457587,0.00002749032,0.00004467308,0.0006232497],"genre_scores_gemma":[0.9917867,0.001185082,0.003834466,0.001924107,0.00005003285,0.00002055423,0.00001360746,0.000008060135,0.001177408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7174613,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434347469392696,"score_gpt":0.2807671022458118,"score_spread":0.2464236275518848,"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."}}