{"id":"W4211244740","doi":"10.1017/9781108571401.021","title":"Instance-Dependent Lower Bounds","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Content (measure theory); Computer science; Theoretical computer science; Information retrieval; Computer network; Mathematics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005690439,0.0005829194,0.0008705165,0.0005429032,0.0004196237,0.0003626506,0.00291269,0.0005330862,0.0001233166],"category_scores_gemma":[0.0003372461,0.0005847649,0.0004746536,0.00005647759,0.0007095748,0.0003637875,0.001872867,0.00134638,0.0008206038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611734,"about_ca_system_score_gemma":0.0004439052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003600374,"about_ca_topic_score_gemma":0.000007660215,"domain_scores_codex":[0.9938561,0.000120444,0.0005716904,0.001587947,0.00328758,0.0005762926],"domain_scores_gemma":[0.9958483,0.0005783479,0.0005010985,0.001608298,0.0008597166,0.0006042532],"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":[0.0005259554,0.00002398216,0.000002656409,0.00003054788,0.0001863978,0.004215583,0.00008367401,0.0000560968,0.00004142102,0.7715218,0.2060321,0.01727981],"study_design_scores_gemma":[0.0007406721,0.0001319668,0.00000795397,0.00006151807,0.0000545864,0.00002016907,0.00007648325,0.0002806789,0.0001817297,0.0005365713,0.997308,0.0005996853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000211754,0.0002162301,0.01605035,0.0001134533,0.0008143386,0.0005583119,0.0006833155,0.0001906728,0.9813522],"genre_scores_gemma":[0.001677448,0.0001126751,0.0002855066,0.0001531884,0.0003692841,0.000001128124,0.00002559818,0.00008421676,0.997291],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7912759,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0978907667440073,"score_gpt":0.3108920003653611,"score_spread":0.2130012336213538,"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."}}