{"id":"W4285008532","doi":"10.1111/ecaf.12536","title":"On monetary growth and inflation in leading economies, 2021–22: Relative prices and the overall price level","year":2022,"lang":"en","type":"article","venue":"Economic Affairs","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Economics; Relative price; Inflation (cosmology); Monetary economics; Price level; Monetary policy; China; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty)","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":[0.001280893,0.0002674022,0.0003447299,0.0008456124,0.0004252132,0.002444111,0.0002193124,0.0007610259,0.003948538],"category_scores_gemma":[0.005537919,0.0001061632,0.0003633666,0.001759907,0.0009080617,0.001692243,0.001042316,0.001832382,0.0003750835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096458,"about_ca_system_score_gemma":0.0006513281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231795,"about_ca_topic_score_gemma":0.01062211,"domain_scores_codex":[0.9996573,0.0001227536,0.00002273298,0.00004202727,0.00006430274,0.00009081068],"domain_scores_gemma":[0.996612,0.001452476,0.001132417,0.00006874545,0.0003906357,0.0003436535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005386061,0.0001706037,0.8872577,0.0001596843,0.0002298311,0.000894296,0.001178604,0.0172344,0.0004123446,0.06398222,0.009233545,0.01870814],"study_design_scores_gemma":[0.00003268984,0.000413397,0.8966997,0.0001967445,0.0001773108,0.000299993,0.006811482,0.0363141,0.0005019455,0.04964655,0.008810801,0.00009528945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706413,0.004739427,0.001349884,0.006352842,0.0002039202,0.00001394777,0.001268782,0.00001975022,0.01541032],"genre_scores_gemma":[0.9981171,0.0006733252,0.00007192533,0.00009366181,0.00008442085,0.000005748089,0.0003018698,0.000002644937,0.0006491821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01231795,"threshold_uncertainty_score":0.0244925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709678494804791,"score_gpt":0.2224141165289456,"score_spread":0.1953173315808977,"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."}}