{"id":"W7113159080","doi":"","title":"The Causality among Money Supply, Price and Income: Evidence from Taiwan","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money supply; Price level; Causality (physics); Monetary policy; Moneyness; Inflation (cosmology); Quarter (Canadian coin); Endogenous money","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009671873,0.0003273071,0.000387374,0.001754159,0.0006670128,0.001404736,0.0005178983,0.0006366698,0.006614885],"category_scores_gemma":[0.006496734,0.0002831514,0.0006356522,0.004284526,0.001032208,0.001435409,0.0009772112,0.0008850481,0.000467798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373245,"about_ca_system_score_gemma":0.001271979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04588175,"about_ca_topic_score_gemma":0.03790887,"domain_scores_codex":[0.9996015,0.0001190073,0.00006065358,0.00008345365,0.00006017669,0.00007522625],"domain_scores_gemma":[0.9902996,0.005249153,0.002961315,0.0003395965,0.000773008,0.0003773322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00022863,0.0001296465,0.9861562,0.0001594745,0.0004546807,0.000895823,0.001685955,0.0005062414,0.000135452,0.001829431,0.001205574,0.006612979],"study_design_scores_gemma":[0.00007450047,0.0001325246,0.9894694,0.00009395189,0.000520391,0.0001962899,0.005070766,0.001126733,0.0002307497,0.001263679,0.001798182,0.00002277462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950659,0.0009514549,0.0001506426,0.00062803,0.0000156693,0.00001177296,0.0005735483,0.000003996001,0.002599013],"genre_scores_gemma":[0.998253,0.0004661143,0.00005538962,0.00007195564,0.00001963364,0.000008408837,0.0005947445,0.000001402981,0.0005292721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04588175,"threshold_uncertainty_score":0.09122938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026894805643101,"score_gpt":0.245569236019808,"score_spread":0.225300287963377,"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."}}