{"id":"W4406308377","doi":"10.1177/10591478251313780","title":"Bridging Adversarial and Nonstationary Multi-Armed Bandit","year":2025,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bridging (networking); Adversarial system; Computer science; Operations research; Mathematical optimization; Operations management; Business; Computer security; Economics; Artificial intelligence; Mathematics","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":[0.006121275,0.001865702,0.001547684,0.0007930491,0.0006288841,0.002472298,0.002433108,0.002711539,0.002842198],"category_scores_gemma":[0.02016757,0.0006379836,0.001001145,0.001075494,0.00337559,0.003890544,0.003712521,0.004436292,0.0004238344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567696,"about_ca_system_score_gemma":0.001060823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116929,"about_ca_topic_score_gemma":0.0007248219,"domain_scores_codex":[0.9956216,0.002390176,0.0001466849,0.0006748875,0.0006963891,0.0004702761],"domain_scores_gemma":[0.9850305,0.01148364,0.001692712,0.001156879,0.0003542903,0.0002820245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001170578,0.0001214432,0.0005070486,0.0001010763,0.00006763962,0.0001446176,0.0001071416,0.7228355,0.0008551073,0.2561871,0.001326361,0.01762982],"study_design_scores_gemma":[0.000009519392,0.00003927339,0.0001287584,0.00001581533,0.000009668673,0.0000293622,0.00001628779,0.9079403,0.0004543679,0.09068394,0.0006605912,0.00001208123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01188364,0.0005546417,0.9810852,0.0007664596,0.00006282586,0.00004453376,0.00004614798,0.0001483445,0.005408165],"genre_scores_gemma":[0.8925586,0.001134223,0.1000564,0.0007380389,0.0003593181,0.0001896477,0.00009948609,0.0001385367,0.004725654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006121275,"threshold_uncertainty_score":0.03237277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008937369525116484,"score_gpt":0.2654878744464503,"score_spread":0.2565505049213338,"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."}}