{"id":"W2570866337","doi":"10.1093/oep/gpw068","title":"Euro introduction and the behaviour of Italian exporting firms","year":2016,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament","funders":"","keywords":"Margin (machine learning); Productivity; Competition (biology); Economics; Core (optical fiber); Monetary economics; International economics; Macroeconomics","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":[0.0005327903,0.000139626,0.0003763258,0.00007386979,0.00007863847,0.00003497996,0.000188108,0.00006844465,0.0008104928],"category_scores_gemma":[0.00006886369,0.0001055304,0.0001285606,0.00003399817,0.0002220113,0.0002635412,0.0000460396,0.00006087865,0.0001542921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008410782,"about_ca_system_score_gemma":0.00001118338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943366,"about_ca_topic_score_gemma":0.00006734128,"domain_scores_codex":[0.9986469,0.00001043005,0.0007186803,0.0003643914,0.00001121168,0.0002483727],"domain_scores_gemma":[0.9990382,0.00006285316,0.0005063164,0.000320895,0.000005646762,0.00006604342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001007609,0.00002226201,0.5688061,0.0000170692,0.0001151342,9.467362e-7,0.0003013606,0.00008858314,0.00008852877,0.4148488,0.001399726,0.01421077],"study_design_scores_gemma":[0.006923842,0.0001718016,0.5208431,0.00003373647,0.00005033017,0.00005663374,0.0008170981,0.0008070671,0.0006676771,0.06106775,0.4076674,0.0008936288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375175,0.0003497175,0.00003965279,0.005630197,0.0006789969,0.0001566569,0.0001085743,0.00002069271,0.05549807],"genre_scores_gemma":[0.9973503,0.001039877,0.0001298081,0.0001648449,0.0002621824,0.000009936167,0.000004870407,0.00001602868,0.001022133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4062676,"threshold_uncertainty_score":0.8874328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387309929944688,"score_gpt":0.1916851519721177,"score_spread":0.1678120526726708,"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."}}