{"id":"W4211171003","doi":"10.1017/9781108571401.001","title":"Preface","year":2020,"lang":"en","type":"other","venue":"","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; Information retrieval; World Wide Web; 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":[0.0016744,0.00104563,0.0007267614,0.003407595,0.001507314,0.003956585,0.001326398,0.001152247,0.5899243],"category_scores_gemma":[0.01488304,0.0003556089,0.0006096003,0.002553607,0.0005373737,0.002516143,0.001438103,0.002976535,0.5039293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964058,"about_ca_system_score_gemma":0.002295213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062946,"about_ca_topic_score_gemma":0.004078018,"domain_scores_codex":[0.9990126,0.0001080584,0.00007691389,0.0001627323,0.0005653711,0.00007436259],"domain_scores_gemma":[0.9921299,0.001327233,0.0003091266,0.0005709916,0.004686205,0.0009765102],"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":[0.00001208007,0.000007694267,0.00003918655,0.00009168807,0.000001046478,0.00001357507,0.00001595801,0.0000623192,0.00005701262,0.002010891,0.9757829,0.0219057],"study_design_scores_gemma":[0.000002912802,0.000008819779,0.0001647484,0.000134926,0.000001230092,0.00002544467,0.00001976612,0.00002476699,0.00004664017,0.001630575,0.9979365,0.000003641027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001043066,0.01368416,0.01313636,0.03261846,0.185839,0.0009263598,0.04607877,0.003603826,0.70307],"genre_scores_gemma":[0.003842112,0.009364059,0.003551724,0.005897914,0.02948533,0.000397304,0.02464925,0.001755697,0.9210567],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5899243,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2243408623238171,"score_gpt":0.4964523380316562,"score_spread":0.2721114757078391,"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."}}