{"id":"W3022745942","doi":"10.1057/s41599-020-0465-9","title":"The validity of Rodrik’s conclusion on real exchange rate and economic growth: factor priority evidence from feature selection approach","year":2020,"lang":"en","type":"article","venue":"Palgrave Communications","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Exchange rate; Openness to experience; Economics; Per capita income; Per capita; Currency; Order (exchange); International economics; Macroeconomics; Monetary economics; 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":[0.0005045839,0.0001533915,0.0003233775,0.00005356943,0.0004693462,0.000078071,0.0006304786,0.0001117883,0.00005763571],"category_scores_gemma":[0.0002980461,0.0001463066,0.00009231633,0.00009298426,0.0001614439,0.0001202391,0.000293968,0.0002987405,0.00008295825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107546,"about_ca_system_score_gemma":0.00002024811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004698574,"about_ca_topic_score_gemma":0.0004996464,"domain_scores_codex":[0.9988812,0.0001598815,0.0004295201,0.0003205609,0.00002146147,0.0001874052],"domain_scores_gemma":[0.9978554,0.0007957,0.0004304041,0.0007854485,0.00001813104,0.0001149562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000319416,0.0001381325,0.7756536,0.0001516086,0.0004019073,3.577758e-7,0.01624412,0.0005286207,0.0007616553,0.1959794,0.00554471,0.004276463],"study_design_scores_gemma":[0.0006128313,0.0002402829,0.8110158,0.00003502557,0.00002835382,0.000001409573,0.0001586477,0.1550009,0.0005402205,0.02266537,0.009320377,0.0003807738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717273,0.003534785,0.001153825,0.01611652,0.0001534935,0.0005247612,0.001112307,0.00005029032,0.005626769],"genre_scores_gemma":[0.9782642,0.02020529,0.001011611,0.0002546302,0.0001149401,0.00002569566,0.00007162576,0.00001462196,0.00003745804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.173314,"threshold_uncertainty_score":0.710287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2116353500779273,"score_gpt":0.2889432866774941,"score_spread":0.07730793659956683,"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."}}