{"id":"W4389204563","doi":"10.54254/2754-1169/54/20230918","title":"An Assessment of the Spillover Effects of Fed Rate Hikes on Chinese Economy","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spillover effect; Monetary policy; Interest rate; Economics; Credit channel; Recession; Quantitative easing; Context (archaeology); Exchange rate; China; Interest rate channel; Monetary economics; Capital (architecture); International economics; Economy; Macroeconomics; Inflation targeting; Central bank; Political science; Geography","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":[0.001330434,0.0003626072,0.0003150657,0.001839442,0.0005553918,0.001254869,0.0002193686,0.0003455329,0.003423325],"category_scores_gemma":[0.002134428,0.0001601834,0.0007036401,0.001540695,0.0005245811,0.0009550306,0.0009999254,0.0004603186,0.0001430222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174763,"about_ca_system_score_gemma":0.001573559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02841844,"about_ca_topic_score_gemma":0.02483969,"domain_scores_codex":[0.999593,0.0001156702,0.00003123007,0.00004252797,0.00009602416,0.0001216045],"domain_scores_gemma":[0.9984693,0.0005738302,0.0003126577,0.00008761508,0.0004104573,0.000146153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007947099,0.0002522118,0.8460052,0.0006069636,0.0007451095,0.004421846,0.002683423,0.03242482,0.003299088,0.03670516,0.003349311,0.06871213],"study_design_scores_gemma":[0.00002539693,0.0002597406,0.9729609,0.00008718769,0.0004726267,0.0001889531,0.003055986,0.01518618,0.00143406,0.002904543,0.003379359,0.00004500691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795026,0.001007115,0.0004169618,0.0005260372,0.00001711675,0.00003372792,0.0003055123,0.00001082928,0.01818013],"genre_scores_gemma":[0.997942,0.0009435474,0.00009327432,0.00004993515,0.00002244721,0.000006954459,0.0001270386,0.000001468024,0.0008132851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02841844,"threshold_uncertainty_score":0.0565061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050255768907547,"score_gpt":0.2959476348141107,"score_spread":0.2854450771250353,"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."}}