{"id":"W2258757317","doi":"","title":"Adjusting to bilateral trade liberalisation under an EPA: Evidence for Mauritius","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Welfare; Economics; Revenue; Production (economics); International economics; Tariff; Deadweight loss; Computable general equilibrium; Productivity; Liberalization; Quarter (Canadian coin); Macroeconomics; Market economy; Finance","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":[0.002138545,0.0003282045,0.0005238391,0.001280803,0.0009924331,0.002181991,0.0007617301,0.0008847876,0.00695101],"category_scores_gemma":[0.01541479,0.0002032688,0.001109559,0.002660064,0.002364734,0.001307985,0.002614395,0.001034503,0.0006284069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141286,"about_ca_system_score_gemma":0.001230011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07223925,"about_ca_topic_score_gemma":0.06403452,"domain_scores_codex":[0.9978725,0.0007594044,0.0001105911,0.0002578434,0.0003965397,0.000603093],"domain_scores_gemma":[0.9910294,0.002243069,0.004599697,0.001202331,0.0004028774,0.0005226465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001486957,0.0003983421,0.8261752,0.0004772368,0.001812884,0.001617098,0.003060088,0.01188283,0.002032829,0.01895855,0.003463456,0.1286344],"study_design_scores_gemma":[0.00006154578,0.0002535065,0.9833113,0.00009426733,0.0002649231,0.0002014914,0.001156287,0.0013941,0.0005056087,0.002846213,0.009885573,0.00002521191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780889,0.002035161,0.000292973,0.001251661,0.00002560838,0.00002216667,0.0002440983,0.00003652311,0.01800287],"genre_scores_gemma":[0.997727,0.0007939694,0.00011634,0.0001815423,0.00002486365,0.000008523724,0.0001570663,0.000007810806,0.0009829365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07223925,"threshold_uncertainty_score":0.1436375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779645562738084,"score_gpt":0.2987414095357708,"score_spread":0.1207768532619623,"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."}}