{"id":"W4381686212","doi":"10.1111/ecin.13164","title":"Exploration versus exploitation: A laboratory test of the single‐agent exponential bandit model","year":2023,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Econometrics; Economics; Exponential function; Test (biology); Psychology; Microeconomics; 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":[0.006780257,0.0005232323,0.0008465609,0.0002162301,0.0002872953,0.001159548,0.001003971,0.00113966,0.004062023],"category_scores_gemma":[0.03039463,0.0002585541,0.0004312741,0.0002333545,0.001033204,0.0009872998,0.0007925523,0.001517778,0.000420949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095146,"about_ca_system_score_gemma":0.0003867191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007525331,"about_ca_topic_score_gemma":0.0003767129,"domain_scores_codex":[0.9977545,0.00164037,0.00008678317,0.0002303343,0.0001606167,0.0001273511],"domain_scores_gemma":[0.9430203,0.04702757,0.005169365,0.003326017,0.0006671593,0.0007894888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05454447,0.05049343,0.1400612,0.001693974,0.002076229,0.001334672,0.004218624,0.3838156,0.1231513,0.08487311,0.009054826,0.1446826],"study_design_scores_gemma":[0.003688047,0.02851567,0.03799799,0.0001128384,0.0003389881,0.0002007528,0.0009338929,0.8570853,0.01747438,0.05157887,0.001897382,0.0001758881],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992739,0.00004692185,0.005394376,0.0002147551,0.00001958668,0.0000669151,0.00007460841,0.0000306711,0.00141303],"genre_scores_gemma":[0.9939268,0.00003817237,0.004589618,0.0001833001,0.00001619302,0.0001902302,0.00007117214,0.00001203357,0.0009725352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006780257,"threshold_uncertainty_score":0.03585786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705290553881867,"score_gpt":0.3576517087907351,"score_spread":0.1871226534025484,"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."}}