{"id":"W4367367797","doi":"10.1111/jmcb.13050","title":"Managing Bubbles in Experimental Asset Markets with Monetary Policy","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Interest rate; Economics; Asset (computer security); Monetary economics; Proxy (statistics); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781723,0.0001170997,0.000310614,0.0006651423,0.0000739621,0.00009871581,0.0001150582,0.00004744828,0.00005048977],"category_scores_gemma":[0.00003513317,0.000105649,0.00005023647,0.0003522119,0.0000496076,0.000483513,0.00004583735,0.0001523002,0.000007600725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005592359,"about_ca_system_score_gemma":0.00003005232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001420026,"about_ca_topic_score_gemma":0.00001016288,"domain_scores_codex":[0.9990796,0.0000130295,0.0004664211,0.0001449849,0.00006308059,0.0002329027],"domain_scores_gemma":[0.9994864,0.00004068149,0.0003248982,0.00007845948,0.0000146983,0.00005489778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009707605,0.0003479286,0.7432286,0.0002357764,0.0003131174,0.001249549,0.004352347,0.001190046,0.001298278,0.2108834,0.0236565,0.01227364],"study_design_scores_gemma":[0.00170913,0.0004358047,0.8891417,0.0002834593,0.000009056242,0.00008794514,0.001225272,0.003084806,0.0003102404,0.09249574,0.01086804,0.0003487716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805571,0.003637219,0.00005029866,0.001386511,0.0002490706,0.00005933816,0.000008369736,0.00001250542,0.01403954],"genre_scores_gemma":[0.9973512,0.001582576,0.0003864156,0.0001337057,0.000393635,0.000002690659,0.000003291288,0.00001453966,0.0001319113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1459131,"threshold_uncertainty_score":0.4308242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329451281202951,"score_gpt":0.2316763465014468,"score_spread":0.2083818336894173,"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."}}