{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073692,0.0001291591,0.0003541823,0.0001770674,0.0001303195,0.00002298835,0.0001830289,0.0000794882,0.0001341374],"category_scores_gemma":[0.00001953139,0.0001352978,0.000121292,0.0000434,0.0000612741,0.0002107737,0.0000362134,0.0005795205,0.00007018493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006787733,"about_ca_system_score_gemma":0.0002150736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009690825,"about_ca_topic_score_gemma":0.0001122012,"domain_scores_codex":[0.9981695,0.00000749329,0.0006099567,0.0002235353,0.00002135188,0.0009681898],"domain_scores_gemma":[0.9993917,0.00002671585,0.0003769551,0.0001214003,0.000003387761,0.00007981224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001528852,0.00008560272,0.4150313,0.00002183839,0.0005984319,0.000009476269,0.0007567874,0.0002046792,0.00005621479,0.5413016,0.001199345,0.04058183],"study_design_scores_gemma":[0.001911378,0.000514453,0.1204358,0.00002139271,0.00001222327,0.001941421,0.0003409164,0.0005495417,0.0001472331,0.8065088,0.06702174,0.0005950362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814641,0.008501456,0.0003522814,0.0005544696,0.0002903916,0.00006787993,0.00001530633,0.000008600194,0.008745485],"genre_scores_gemma":[0.9659826,0.03144663,0.0001373841,0.00008486854,0.000131926,0.000002056824,0.000002263875,0.00001721074,0.002195113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2945955,"threshold_uncertainty_score":0.5517282,"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."}}