{"id":"W2024871890","doi":"10.1016/j.econlet.2014.07.018","title":"Global value chains and trade elasticities","year":2014,"lang":"en","type":"article","venue":"Economics Letters","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Value (mathematics); Supply chain; Econometrics; International trade; Monetary economics; Business; Mathematics; Statistics","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":[0.001560092,0.0003738061,0.0005162777,0.002935956,0.000789703,0.004440776,0.0003802954,0.001427803,0.02391639],"category_scores_gemma":[0.01315494,0.0004686764,0.000518113,0.00606994,0.001707441,0.009202812,0.001816099,0.0022609,0.0009884471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113922,"about_ca_system_score_gemma":0.0003912314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004441849,"about_ca_topic_score_gemma":0.003680804,"domain_scores_codex":[0.9995974,0.0001207628,0.00002583392,0.00007681051,0.00009663955,0.00008254407],"domain_scores_gemma":[0.9901899,0.006817092,0.001415497,0.0007028125,0.0005252976,0.0003494493],"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":[0.0001466931,0.00009484978,0.03520439,0.000117504,0.0001387048,0.0002489238,0.00049727,0.05344513,0.0002314022,0.869047,0.007378108,0.03345009],"study_design_scores_gemma":[0.00000767188,0.000007263791,0.008568909,0.00006351093,0.00002086722,0.00005465417,0.0004201886,0.01206488,0.00006389732,0.973678,0.005035929,0.00001420952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7238361,0.01033731,0.04162564,0.021241,0.0004223745,0.00003872191,0.001738666,0.000176092,0.2005841],"genre_scores_gemma":[0.9853595,0.003159042,0.001078209,0.0003076009,0.0002464948,0.00001345175,0.0003547432,0.00003885391,0.009442059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02391639,"threshold_uncertainty_score":0.08000833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259397740081628,"score_gpt":0.1721236543562605,"score_spread":0.1495296769554442,"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."}}