{"id":"W2925637332","doi":"10.5539/ass.v15n4p1","title":"The Transmission of Monetary Shocks in a Multi-Region Economy: The Case of China","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; China; Production (economics); Aggregate (composite); Econometrics; Estimation; Function (biology); Range (aeronautics); Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009494061,0.0004588176,0.0008926989,0.0006673981,0.001103758,0.001879101,0.001253217,0.001676645,0.002179827],"category_scores_gemma":[0.001757515,0.0004719432,0.001024696,0.0007151796,0.001076768,0.001711169,0.001442913,0.0009780281,0.0001729067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172174,"about_ca_system_score_gemma":0.001491044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08105057,"about_ca_topic_score_gemma":0.03172867,"domain_scores_codex":[0.9996707,0.0001219786,0.00001435204,0.00006420715,0.0000319227,0.00009682516],"domain_scores_gemma":[0.9993316,0.0001765945,0.0002351646,0.00004275471,0.00008552194,0.0001283473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000273945,0.0001032316,0.01520358,0.00007817699,0.0001518712,0.004412222,0.0004464308,0.8465002,0.001691726,0.124745,0.001632266,0.004761375],"study_design_scores_gemma":[0.0001249068,0.00005650223,0.005797563,0.00001455213,0.00009063056,0.000176578,0.0002789547,0.9663561,0.0001530918,0.02625269,0.0006495685,0.00004878063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731415,0.0005389838,0.01342224,0.002688091,0.00004899921,0.00003610333,0.0002821523,0.00007902104,0.009762916],"genre_scores_gemma":[0.9974139,0.0002306722,0.0005885002,0.0000401736,0.00001479735,0.00000942705,0.00003351068,0.000005773157,0.001663292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08105057,"threshold_uncertainty_score":0.1611576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237908569308341,"score_gpt":0.2489924756903251,"score_spread":0.2066133899972417,"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."}}