{"id":"W6906647211","doi":"10.17632/2xpjr3bycr.1","title":"Data and codes for HISTORY-DEPENDENT MONETARY POLICY: A LAB EXPERIMENT AND A HENK MODEL","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Replication (statistics); Experimental data; Data collection; Monetary system; Code (set theory)","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":[0.001798643,0.00171774,0.001114729,0.002059267,0.0007407131,0.001799153,0.002922412,0.002949538,0.09077964],"category_scores_gemma":[0.01173851,0.0008308712,0.00143699,0.003436257,0.0005762428,0.001204572,0.001227451,0.002285501,0.07803582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894211,"about_ca_system_score_gemma":0.002154852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03826955,"about_ca_topic_score_gemma":0.06004599,"domain_scores_codex":[0.9989522,0.0002710499,0.000109609,0.0003104288,0.0002266411,0.0001302116],"domain_scores_gemma":[0.9963815,0.00139001,0.0002694045,0.001061894,0.0006625937,0.0002345578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008127376,0.00003622796,0.0009260478,0.0001927576,0.00002973167,0.0000194962,0.00001525143,0.00144937,0.00007084126,0.0009226028,0.994615,0.001641316],"study_design_scores_gemma":[0.0009800664,0.00003847475,0.006263921,0.0002206573,0.0000451022,0.00008995841,0.000111856,0.004312765,0.0005984518,0.007236128,0.9800235,0.00007915426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00036418,0.00005921327,0.0002304554,0.0002164629,0.00005606537,0.00001810341,0.9977536,0.0005387629,0.0007630532],"genre_scores_gemma":[0.001900762,0.00006670945,0.001075287,0.0001418455,0.00001911445,0.0001787815,0.9944601,0.0002839295,0.001873532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09077964,"threshold_uncertainty_score":0.3036881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144470329702981,"score_gpt":0.3585885615450713,"score_spread":0.2441415285747732,"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."}}