{"id":"W2809048072","doi":"10.1002/asmb.2355","title":"A Bayesian two‐armed bandit model","year":2018,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Stochastic game; Monotonic function; Mathematical optimization; Multi-armed bandit; Dynamic programming; Computer science; Bayesian probability; Outcome (game theory); Value (mathematics); Term (time); Sequence (biology); Stochastic programming; Mathematical economics; Economics; Mathematics; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00411435,0.001181808,0.002621886,0.001010177,0.000835029,0.003498212,0.002031074,0.004447841,0.006013908],"category_scores_gemma":[0.01002454,0.0008528791,0.0008720185,0.001640488,0.002506999,0.002348152,0.001425655,0.002513521,0.001249529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908459,"about_ca_system_score_gemma":0.001268508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005849,"about_ca_topic_score_gemma":0.005524503,"domain_scores_codex":[0.9975981,0.001197447,0.00009826619,0.0004410317,0.0003495083,0.0003157229],"domain_scores_gemma":[0.994249,0.004062536,0.0008797068,0.0001933364,0.0004244163,0.0001910363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001163844,0.00006624701,0.001049981,0.00009439281,0.00007543765,0.0002420483,0.0001107107,0.6975746,0.0003658003,0.2899725,0.002468935,0.007863052],"study_design_scores_gemma":[0.00002804342,0.00002844723,0.0002073425,0.00002886295,0.00001940519,0.00003368422,0.00002365584,0.9273287,0.00007021987,0.07128379,0.0009264796,0.00002132463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05350681,0.001311179,0.9160859,0.00433571,0.0001548999,0.0001338517,0.0008043803,0.0002555593,0.02341165],"genre_scores_gemma":[0.9246091,0.001329856,0.04688695,0.0007168339,0.0002333484,0.0003810956,0.0004005397,0.00005200811,0.02539044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01005849,"threshold_uncertainty_score":0.02175897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201796460493762,"score_gpt":0.3928292364248337,"score_spread":0.2726495903754575,"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."}}