{"id":"W2101274611","doi":"","title":"Innovation and the Elasticity of Trade Volumes to Tariff Reductions","year":2009,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tariff; Economics; International economics; Free trade; Elasticity (physics); Commercial policy; International trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002837105,0.0005704823,0.0006815402,0.001431485,0.0003370802,0.002320638,0.0008517977,0.001576096,0.006013518],"category_scores_gemma":[0.01606809,0.000427693,0.002000652,0.001465086,0.001816178,0.002186444,0.001337066,0.001792049,0.0004535176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955068,"about_ca_system_score_gemma":0.0006025169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004440004,"about_ca_topic_score_gemma":0.001802643,"domain_scores_codex":[0.9989378,0.0003736345,0.00004021476,0.0001877722,0.0001622008,0.0002983915],"domain_scores_gemma":[0.9831764,0.01287915,0.002157891,0.001159209,0.0003619466,0.0002654935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003649008,0.0001894368,0.03746312,0.0001521482,0.0002756836,0.0003410431,0.000240022,0.8550859,0.004448624,0.08705769,0.001405908,0.01297556],"study_design_scores_gemma":[0.0001774339,0.0002683911,0.0426353,0.00006658876,0.0002254564,0.0003040176,0.0003720356,0.7022707,0.004569527,0.2446856,0.004259374,0.0001655613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557248,0.000603504,0.02631913,0.001882085,0.00006622296,0.00003003449,0.000388672,0.0001723518,0.01481322],"genre_scores_gemma":[0.9977779,0.000289678,0.000780223,0.00007628553,0.00002487294,0.000009188747,0.00009731883,0.00001692135,0.000927612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006013518,"threshold_uncertainty_score":0.02011722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012260447167564,"score_gpt":0.1972826078932344,"score_spread":0.1571600034215588,"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."}}