{"id":"W4210963705","doi":"10.1017/9781108571401.025","title":"Stochastic Linear Bandits","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":"Computer science; Content (measure theory); Mathematical optimization; 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":[0.0007772945,0.0008276803,0.0008001198,0.0005660553,0.0003137459,0.001929053,0.0006774428,0.0009027916,0.04219661],"category_scores_gemma":[0.002860503,0.0003013487,0.0004807573,0.001398491,0.0006768365,0.001492004,0.0007772897,0.001767355,0.02361671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007996605,"about_ca_system_score_gemma":0.0006458527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009898739,"about_ca_topic_score_gemma":0.001506656,"domain_scores_codex":[0.9996692,0.00009239389,0.00001318039,0.00006134778,0.0001299928,0.00003388045],"domain_scores_gemma":[0.9993613,0.0003938023,0.00002713975,0.00008490515,0.00009676575,0.00003608142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009286111,0.00004960817,0.0002700695,0.0003968322,0.00005705348,0.00007088283,0.00005580257,0.04725704,0.001371577,0.4896696,0.1628141,0.2978946],"study_design_scores_gemma":[0.00002600319,0.00006186536,0.0006416971,0.0003515615,0.00003234958,0.0001898209,0.00004106566,0.1556428,0.001669388,0.524209,0.3170922,0.0000422294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005909584,0.02978419,0.5820369,0.00529814,0.002359155,0.00006042657,0.002271357,0.001700296,0.37058],"genre_scores_gemma":[0.1578018,0.03700202,0.1314759,0.002326004,0.00264332,0.0002390808,0.004105917,0.001275704,0.6631303],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04219661,"threshold_uncertainty_score":0.1411617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197919489329504,"score_gpt":0.324009890147398,"score_spread":0.2042179412144476,"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."}}