{"id":"W4230736957","doi":"10.2139/ssrn.3249069","title":"Optimal Exploration","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science; Geology; Geography","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":[0.0006461392,0.0008563354,0.0009881011,0.000940774,0.0006522932,0.001880986,0.000741942,0.001832035,0.02603629],"category_scores_gemma":[0.005801839,0.0004253454,0.0006666118,0.0008002811,0.001031056,0.002378004,0.002376937,0.001736524,0.002029841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007029996,"about_ca_system_score_gemma":0.001297095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006851739,"about_ca_topic_score_gemma":0.0007262985,"domain_scores_codex":[0.9995801,0.000138064,0.00001860705,0.0001017351,0.00008365067,0.00007787959],"domain_scores_gemma":[0.9989142,0.0007049844,0.00006079371,0.0001281608,0.0000995143,0.00009223637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002866933,0.00015615,0.0008344426,0.0003241629,0.00009595243,0.000120131,0.0001265972,0.3276569,0.002340029,0.4941824,0.02369108,0.1501855],"study_design_scores_gemma":[0.00004751277,0.00009040465,0.0002872139,0.00008083297,0.00003053749,0.000104676,0.00006367511,0.587772,0.0008332678,0.4027739,0.007900277,0.00001581659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06957217,0.002089215,0.7312232,0.004691753,0.0006997688,0.0002412639,0.000676286,0.0007109438,0.1900955],"genre_scores_gemma":[0.7888091,0.001362995,0.1217354,0.0008980971,0.0003489747,0.0004726998,0.0005451628,0.0003491698,0.08547843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02603629,"threshold_uncertainty_score":0.08710009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0941705604698524,"score_gpt":0.4321125470547117,"score_spread":0.3379419865848593,"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."}}