{"id":"W4390411453","doi":"10.1002/aepp.13410","title":"Do <scp>regional trade agreements</scp> affect agri‐food trade? Evidence from a meta‐analysis","year":2023,"lang":"en","type":"article","venue":"Applied Economic Perspectives and Policy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Regional trade; Publication bias; International economics; International trade; Meta-analysis; Trade barrier; Economics; Funnel plot; Economic integration; Affect (linguistics); Free trade; Business; Psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005095019,0.0005004438,0.001518164,0.000930268,0.0002611906,0.0003203484,0.0005038545,0.0002262578,0.0004081394],"category_scores_gemma":[0.00004979382,0.0005699317,0.001003524,0.0007409827,0.0002011784,0.0004505206,0.0001529264,0.0002568181,0.001366653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003910098,"about_ca_system_score_gemma":0.00006558863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152781,"about_ca_topic_score_gemma":0.0003611228,"domain_scores_codex":[0.9969313,0.00002909532,0.0007955899,0.001398666,0.00005052363,0.0007947893],"domain_scores_gemma":[0.998033,0.0005397044,0.0004534672,0.000639872,0.000004870307,0.000329028],"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":[0.00002842998,0.0001346229,0.00890355,0.00003390559,0.06702199,0.000004625919,0.01435134,0.003266242,0.00008246376,0.8974599,0.008320153,0.0003927774],"study_design_scores_gemma":[0.002815793,0.0003783407,0.6332236,0.00001753286,0.01349006,0.00001608392,0.0191918,0.005281683,0.0002013558,0.2602377,0.06373026,0.001415823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460105,0.01725226,0.0001262554,0.006249298,0.000164359,0.0005523168,0.002322224,0.000192334,0.02713043],"genre_scores_gemma":[0.989734,0.008152271,0.0002052254,0.0007268401,0.0006263966,0.0001470576,0.0000890177,0.0000512225,0.000267969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6372222,"threshold_uncertainty_score":0.9996752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222930290041421,"score_gpt":0.2789272707115277,"score_spread":0.1566342417073856,"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."}}