{"id":"W2064174945","doi":"10.1111/j.1467-7679.2008.00429.x","title":"Agro‐Food Preferences in the EU's GSP Scheme: An Analysis of Changes Between 2004 and 2006","year":2008,"lang":"en","type":"article","venue":"Development Policy Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Margin (machine learning); Ranking (information retrieval); China; Value (mathematics); International economics; Developing country; Business; Market access; International trade; Economics; Agricultural economics; Geography; Agriculture; Economic growth","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":[0.0006634051,0.0001461813,0.0007221919,0.000378878,0.00006663879,0.00001976991,0.0003071927,0.00005771536,0.0000639702],"category_scores_gemma":[0.00005885559,0.0001258128,0.00006953433,0.0009458061,0.00005782713,0.0001335844,0.00004388735,0.00007933607,0.00004265512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005699736,"about_ca_system_score_gemma":0.0000546004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004486722,"about_ca_topic_score_gemma":0.0005680764,"domain_scores_codex":[0.9987241,0.00002782256,0.0006896797,0.0002803847,0.00003790631,0.000240127],"domain_scores_gemma":[0.9993139,0.00003462531,0.0003118692,0.0002610251,0.00001461652,0.00006394649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001872332,0.00008648488,0.9586749,0.0005292351,0.0004907862,0.000001243827,0.001773836,0.000008662078,5.45567e-7,0.03097505,0.0008736755,0.006583706],"study_design_scores_gemma":[0.0001300638,0.00003851498,0.8095194,0.0001213334,0.00004538016,0.000002147447,0.00003818727,0.00001475235,0.000009812313,0.0005651509,0.1893311,0.0001842611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910044,0.08074638,0.00001119066,0.003120565,0.00002144703,0.0002992965,0.0001772344,0.000009685587,0.005570251],"genre_scores_gemma":[0.8787072,0.1181878,0.0007703014,0.002075433,0.00005261819,0.00004011692,0.00008870922,0.000007721493,0.00007013739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1884574,"threshold_uncertainty_score":0.5130499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.197727162254277,"score_gpt":0.2843106935431601,"score_spread":0.0865835312888831,"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."}}