{"id":"W4394828160","doi":"10.2139/ssrn.4769498","title":"Presidential Cycles and Exchange Rates","year":2024,"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":"Université Laval","funders":"","keywords":"Download; Presidential system; Computer science; World Wide Web; Political science; Law","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":[0.001264698,0.0002145362,0.0003907217,0.00126071,0.0004927351,0.003785783,0.0002890233,0.001053891,0.02144871],"category_scores_gemma":[0.01424987,0.0002205906,0.0003150832,0.00248578,0.0004553684,0.001385101,0.0005860254,0.001349253,0.001919123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590721,"about_ca_system_score_gemma":0.000552811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004973835,"about_ca_topic_score_gemma":0.006693751,"domain_scores_codex":[0.9996961,0.0001335594,0.00001942784,0.0000325788,0.00004098591,0.00007734141],"domain_scores_gemma":[0.9891146,0.005296328,0.003569223,0.0002794411,0.0006221494,0.001118307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001764315,0.0005394291,0.6428956,0.0003361996,0.0005251343,0.001100407,0.001706849,0.009458167,0.0007362982,0.1966913,0.05323906,0.09100728],"study_design_scores_gemma":[0.0001712581,0.0002994249,0.7985423,0.0002327888,0.0003800367,0.0007028149,0.002393564,0.01413842,0.0006161549,0.1226085,0.05983852,0.00007626736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882228,0.01280569,0.001518082,0.01539671,0.0007189524,0.00001390681,0.002776403,0.0001111331,0.08443106],"genre_scores_gemma":[0.979553,0.00341577,0.0001298642,0.0003402246,0.0004790092,0.0000076456,0.0007949549,0.00003367464,0.01524586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02144871,"threshold_uncertainty_score":0.07175308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234739889169649,"score_gpt":0.2383741196643694,"score_spread":0.2060267207726729,"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."}}