{"id":"W4389372538","doi":"10.2139/ssrn.4647433","title":"The Gibson Paradox and the Fisher Effect in Advanced and Emerging Economies","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Emerging markets; Economy; Macroeconomics","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":[0.001842106,0.0002337771,0.0008575423,0.00137021,0.001490498,0.001944658,0.0004509243,0.001564893,0.01212539],"category_scores_gemma":[0.01018408,0.0001755401,0.0003893395,0.001328807,0.004610344,0.006726602,0.002132999,0.001564903,0.0003284421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088879,"about_ca_system_score_gemma":0.001237914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924091,"about_ca_topic_score_gemma":0.0207133,"domain_scores_codex":[0.9996661,0.0001078803,0.00001687522,0.00005649685,0.00008480268,0.00006779836],"domain_scores_gemma":[0.9970471,0.001886208,0.0004180765,0.0002425632,0.0001850159,0.0002210253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001169172,0.00002873649,0.003198474,0.00006147501,0.00002042244,0.0002118033,0.0004908537,0.001339316,0.0001050931,0.9725699,0.005561466,0.01629554],"study_design_scores_gemma":[0.00002926913,0.00001135557,0.004192872,0.00002994112,0.00001197716,0.00005346395,0.0004270139,0.0009446277,0.00004261819,0.9907044,0.003540047,0.00001239021],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7047902,0.01064869,0.01216738,0.06021231,0.0004046584,0.00002544203,0.0004656673,0.0001156535,0.21117],"genre_scores_gemma":[0.9932501,0.001905171,0.0005649642,0.0006444659,0.000164736,0.000006354602,0.00003306502,0.00001529577,0.003415863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924091,"threshold_uncertainty_score":0.04056352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276710568366517,"score_gpt":0.2135665350277343,"score_spread":0.2007994293440692,"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."}}