{"id":"W242392248","doi":"","title":"Global Monetary Easing Brings a Rebound in Growth","year":2001,"lang":"en","type":"article","venue":"The Journal of Business Forecasting Methods & Systems","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Business cycle; Economics; Economic recovery; Pace; Economic indicator; Productivity; Restructuring; Global recession; Economic policy; Macroeconomics; Finance; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0110054,0.000197652,0.000777258,0.0003005547,0.0001438124,0.0001296873,0.0005000478,0.0001016599,0.00002592522],"category_scores_gemma":[0.001141625,0.000168,0.0001302678,0.0008677969,0.00009099548,0.0004863466,0.00007263384,0.0002585763,0.00002231043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545261,"about_ca_system_score_gemma":0.00005056359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816039,"about_ca_topic_score_gemma":0.00005184822,"domain_scores_codex":[0.9973978,0.0004184773,0.001588632,0.0001780347,0.0000354269,0.0003815667],"domain_scores_gemma":[0.9971856,0.0005923456,0.001744201,0.0002621946,0.0001300494,0.0000856109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001153984,0.0002417166,0.6287519,0.000586066,0.0004701648,0.0002436893,0.005659708,0.07012118,0.0002426175,0.2560971,0.0005486564,0.03588327],"study_design_scores_gemma":[0.003750847,0.0002441192,0.2582018,0.001741157,0.0001341868,0.0174153,0.001759395,0.0674283,0.00005589633,0.6304557,0.01755739,0.00125591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846118,0.006511447,0.09632472,0.0004186825,0.001712983,0.0001506115,0.00001318016,0.0000139978,0.01024258],"genre_scores_gemma":[0.99024,0.0003446658,0.008237825,0.0001042915,0.000839963,0.000002328057,7.709629e-7,0.00002648955,0.0002036457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3743586,"threshold_uncertainty_score":0.6850843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09354345818938806,"score_gpt":0.2946334492698946,"score_spread":0.2010899910805065,"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."}}