{"id":"W2081184483","doi":"10.2139/ssrn.1094218","title":"Terms of Trade Shocks and Economic Recovery","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Depreciation (economics); Exchange rate; Economics; Monetary economics; Economic recovery; Sample (material); Government (linguistics); International economics; Macroeconomics; Microeconomics","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":[0.0008874281,0.0002672751,0.0005752784,0.001400911,0.0006182554,0.004524122,0.0005717193,0.002073034,0.01658409],"category_scores_gemma":[0.009057301,0.0001987081,0.0005063048,0.002513668,0.001541104,0.003283481,0.001285069,0.002968323,0.001869277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484191,"about_ca_system_score_gemma":0.0007494768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006002497,"about_ca_topic_score_gemma":0.004327208,"domain_scores_codex":[0.9996983,0.00004403118,0.0000403321,0.00004326243,0.000052279,0.0001219093],"domain_scores_gemma":[0.9965064,0.001252977,0.001408739,0.0002598507,0.0002642707,0.000307719],"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":[0.004378865,0.0006402321,0.1697824,0.0004684673,0.0003506848,0.004153889,0.001545747,0.08639301,0.004354991,0.604014,0.03170711,0.09221058],"study_design_scores_gemma":[0.0001471854,0.0002044853,0.1883091,0.0001861045,0.0001647409,0.0008370792,0.003930329,0.05018652,0.001841941,0.7319143,0.02216108,0.0001170943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256403,0.005722927,0.004842553,0.01475519,0.0004380998,0.00003291711,0.002791615,0.0002901894,0.04548615],"genre_scores_gemma":[0.9901716,0.001377822,0.0001123325,0.0001738818,0.0001389414,0.000006701583,0.0005807568,0.00002846547,0.007409467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658409,"threshold_uncertainty_score":0.05547935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276069113520781,"score_gpt":0.1835742922631962,"score_spread":0.1708136011279884,"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."}}