{"id":"W2911393254","doi":"10.3386/w25517","title":"Endogenous Trade Protection and Exchange Rate Adjustment","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche","keywords":"Endogeny; Exchange rate; Economics; Monetary economics; Chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007743476,0.000322415,0.0004661224,0.0004588442,0.0003719305,0.002842226,0.0004084274,0.0009611515,0.005057653],"category_scores_gemma":[0.004633394,0.000257536,0.0005911435,0.0007193218,0.001132655,0.00257518,0.001027106,0.001306303,0.0003866794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284328,"about_ca_system_score_gemma":0.0005333666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003021086,"about_ca_topic_score_gemma":0.001427847,"domain_scores_codex":[0.9996558,0.0001177663,0.0000199056,0.00008266699,0.000043082,0.00008064689],"domain_scores_gemma":[0.9981021,0.0006921861,0.0008554076,0.000158738,0.00007410539,0.0001175146],"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":[0.0002485289,0.00008409224,0.01672659,0.00008676873,0.0001019017,0.0003556269,0.0003105373,0.2134521,0.002099567,0.7510441,0.001233313,0.01425688],"study_design_scores_gemma":[0.000169058,0.0001759217,0.01907173,0.0000719106,0.00009440345,0.0003011713,0.0002317161,0.2842854,0.001021091,0.6847064,0.009807025,0.0000641015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8641378,0.003146221,0.06921475,0.005371571,0.0001436056,0.00003602402,0.000629054,0.000201435,0.0571195],"genre_scores_gemma":[0.9954769,0.0007015492,0.0006255768,0.00007150353,0.00003113714,0.000006527969,0.00005773214,0.000009425393,0.003019656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005057653,"threshold_uncertainty_score":0.01691955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6237627450207435,"score_gpt":0.4252388197913463,"score_spread":0.1985239252293972,"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."}}