{"id":"W3124536778","doi":"10.1016/j.jimonfin.2016.03.001","title":"Macroeconomic consequences of the real-financial nexus: Imbalances and spillovers between China and the U.S.","year":2016,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Nexus (standard); Spillover effect; China; Monetary policy; Financial crisis; Endogeneity; Inflation (cosmology); Monetary economics; Real economy; Macroeconomics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006540996,0.0001038862,0.0003605835,0.00007712703,0.00008564691,0.00003843264,0.0002501725,0.00005320111,0.0000232244],"category_scores_gemma":[0.0001660834,0.00005761574,0.00008675105,0.00003379378,0.0007077273,0.0003564766,0.00006850572,0.000110799,0.000003005949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003498094,"about_ca_system_score_gemma":0.00002405035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004710927,"about_ca_topic_score_gemma":0.00001755197,"domain_scores_codex":[0.9990473,0.00002050453,0.000634151,0.0001417849,0.00003399397,0.0001222908],"domain_scores_gemma":[0.9986873,0.0001705229,0.0009869336,0.0001043853,0.00001773464,0.00003315077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002669997,0.00001590318,0.7226225,0.00001366003,0.0001416457,0.00000214946,0.0008209205,0.00007831797,0.00007009571,0.2695111,0.0005018204,0.00595482],"study_design_scores_gemma":[0.001698955,0.00007364876,0.8862963,0.00007846278,0.00001166965,0.00005918994,0.00003402169,0.0002393568,0.0002333067,0.1040175,0.007158629,0.00009893061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840374,0.002569286,0.0001236372,0.01040645,0.0004248143,0.00007119603,0.0001743449,0.000001423988,0.00219148],"genre_scores_gemma":[0.9815569,0.01764114,0.0001152888,0.0001888327,0.0002156617,0.000001550321,3.30078e-7,0.000004887585,0.0002754011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654936,"threshold_uncertainty_score":0.2607651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002593807553597,"score_gpt":0.2142839705071951,"score_spread":0.1942580324316591,"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."}}