{"id":"W7098247044","doi":"","title":"Author manuscript, published in "COLT, Montreal: Canada (2009)" Minimax policies for adversarial and stochastic bandits","year":2013,"lang":"en","type":"article","venue":"","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Minimax; Logarithm; Upper and lower bounds; Adversarial system; Characterization (materials science); Infimum and supremum; Interval (graph theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001460303,0.0002812815,0.0002794039,0.00009194863,0.000126221,0.0001243211,0.0002265671,0.000235633,0.0001321096],"category_scores_gemma":[0.0002526224,0.0002552618,0.00006779443,0.0001197747,0.00008280479,0.00001472684,0.0001010731,0.0001040518,0.000006248062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005818016,"about_ca_system_score_gemma":0.000431793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3703434,"about_ca_topic_score_gemma":0.9371704,"domain_scores_codex":[0.9983024,0.00003978577,0.0003613857,0.0004925932,0.0001904698,0.0006133585],"domain_scores_gemma":[0.999068,0.00004152672,0.00009311473,0.0004097215,0.0001874248,0.0002002141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003745446,0.0001062283,0.001977594,0.00008878512,0.0001104644,0.000002951455,0.0003384892,0.0002800479,0.1081133,0.0001574961,0.8864933,0.001956794],"study_design_scores_gemma":[0.007535795,0.000789655,0.1190399,0.00007026078,0.0001425334,0.00004887975,0.001374103,0.000679886,0.02527903,0.001831578,0.8412245,0.001983909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910607,0.0008904777,0.002790567,0.001781568,0.0005542187,0.0009318878,0.0001789335,0.00001798092,0.001793677],"genre_scores_gemma":[0.960249,0.00003964176,0.001763667,0.001233205,0.0004914592,0.0002119265,0.0004188234,0.00004197682,0.03555027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5668271,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198477625926321,"score_gpt":0.2368585966796647,"score_spread":0.2248738204204015,"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."}}