{"id":"W7096516363","doi":"","title":"University of Alberta MULTI-ARMED BANDIT PROBLEMS UNDER DELAYED FEEDBACK","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Upper and lower bounds; Term (time); Key (lock); Online learning; Style (visual arts)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000874226,0.0001234115,0.0002587824,0.0002215417,0.0001167991,0.00003195223,0.000978202,0.00009089535,0.008329121],"category_scores_gemma":[0.001043992,0.00006925529,0.0001093693,0.0006626238,0.0004014442,0.0004943311,0.000312782,0.00008696493,0.002143644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008540616,"about_ca_system_score_gemma":0.0001209896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008812468,"about_ca_topic_score_gemma":0.00419462,"domain_scores_codex":[0.9974598,0.0001522705,0.0003333271,0.0004931519,0.001194126,0.0003673248],"domain_scores_gemma":[0.9961527,0.002327004,0.0001543947,0.0006541943,0.000522655,0.000189037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002447201,0.002463727,0.04880555,0.00005657331,0.0007682971,0.0001304706,0.006089033,0.01280082,0.08132219,0.009806163,0.1611047,0.6742053],"study_design_scores_gemma":[0.03705492,0.001790048,0.2503255,0.0002826964,0.00009277027,0.00006753386,0.01505353,0.05819266,0.05107946,0.1528534,0.4303744,0.002833032],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04194264,0.00003222861,0.9495665,0.00225866,0.0001382611,0.0003251267,0.00002327606,0.00003625031,0.005677082],"genre_scores_gemma":[0.8017408,0.00004061826,0.007561878,0.00003543079,0.00002240683,8.957985e-7,0.000001503012,0.00001178304,0.1905847],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9420046,"threshold_uncertainty_score":0.9986333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223149004878658,"score_gpt":0.372325968829354,"score_spread":0.2500110683414882,"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."}}