{"id":"W6962363658","doi":"10.15456/jae.2022327.072028","title":"International spillovers of forward guidance shocks (replication data)","year":2022,"lang":"en","type":"other","venue":"ZBW Journal Data Archive","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Shock (circulatory); Sample (material); Forward guidance; Vector autoregression; Interest rate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822931,0.0004553183,0.0006425508,0.001156462,0.000969678,0.001854639,0.001046443,0.0005922673,0.008054528],"category_scores_gemma":[0.005204258,0.0003310226,0.0009610348,0.003049405,0.0005701108,0.0006162995,0.0009917751,0.001174649,0.001293238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004595024,"about_ca_system_score_gemma":0.006508033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9370933,"about_ca_topic_score_gemma":0.8995297,"domain_scores_codex":[0.9993469,0.0001273877,0.0000324837,0.0001662861,0.0001263143,0.0002005545],"domain_scores_gemma":[0.9979469,0.0004037181,0.000486008,0.0004214209,0.0005953675,0.0001465655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004948368,0.0002226823,0.6490851,0.0002151376,0.0007377475,0.0007593231,0.001658702,0.2313627,0.0008759799,0.02109001,0.04654286,0.04695481],"study_design_scores_gemma":[0.0002665056,0.0001877359,0.6945032,0.0002422115,0.000627597,0.0004676481,0.004051387,0.1884784,0.004174461,0.00708357,0.09967374,0.0002435174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9079677,0.000865323,0.01181431,0.001016649,0.00007340565,0.0002190516,0.05196015,0.0005709485,0.02551249],"genre_scores_gemma":[0.9494238,0.0003904091,0.004324991,0.0001373978,0.00001713333,0.0001161334,0.03353054,0.00008036887,0.01197915],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9370933,"threshold_uncertainty_score":0.1265543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06281950031659712,"score_gpt":0.2696105074769639,"score_spread":0.2067910071603667,"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."}}