{"id":"W4376525891","doi":"10.2991/978-94-6463-142-5_20","title":"Canadian Monetary Policy and Chinese Monetary Policy Under Covid-19","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Monetary policy; Inflation targeting; China; Chinese financial system; Monetary hegemony; Bank rate; Economics; Forward guidance; Monetary base; Credit channel; Monetary economics; Central bank; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005529575,0.0006217696,0.0002183715,0.00206055,0.003211614,0.003377306,0.0005561008,0.0009164097,0.008997886],"category_scores_gemma":[0.001603082,0.0001619385,0.0002126859,0.004140086,0.002600866,0.001172085,0.0006388619,0.001209005,0.0007556493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06193588,"about_ca_system_score_gemma":0.04659536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9163228,"about_ca_topic_score_gemma":0.9076474,"domain_scores_codex":[0.9993319,0.00005116651,0.00001796814,0.00006857304,0.0003550254,0.0001753323],"domain_scores_gemma":[0.9996225,0.00004626888,0.00002616409,0.00002221024,0.0002248459,0.0000580028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002271814,0.000004336404,0.0007940694,0.00008426079,0.00000400663,0.00008969959,0.0006608763,0.001120187,0.0000924479,0.8733715,0.08858971,0.03516604],"study_design_scores_gemma":[0.00001185594,0.000009129933,0.009565762,0.0002031652,0.00001130053,0.00009645841,0.0004711721,0.001488955,0.0001862491,0.06405751,0.9238688,0.00002966461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009781607,0.03702183,0.0008466203,0.01146461,0.001076533,0.00002685317,0.0007084063,0.00006463523,0.9390088],"genre_scores_gemma":[0.5326106,0.06457511,0.002418459,0.003092315,0.001084661,0.00007600158,0.001155138,0.00008757327,0.3949002],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08367723,"threshold_uncertainty_score":0.4493784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680403865708676,"score_gpt":0.3502154925474593,"score_spread":0.2834114538903726,"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."}}