{"id":"W4283364885","doi":"10.5430/rwe.v13n1p29","title":"The Influence of Trade Facilitation on the Depth and Breadth of China's Agricultural Exports: Empirical Evidence Based on RCEP Countries","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Trade facilitation; Openness to experience; China; Gravity model of trade; Agriculture; International trade; International economics; Business; Index (typography); Facilitation; Economics; Trade barrier; Geography; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007455287,0.0002613398,0.0002274117,0.001578754,0.0005796688,0.0009829168,0.000196452,0.0001901341,0.002561439],"category_scores_gemma":[0.002218639,0.00009251689,0.0004019456,0.002226969,0.0007262622,0.0009115066,0.001285242,0.0003010179,0.0001420473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889363,"about_ca_system_score_gemma":0.0009785328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460625,"about_ca_topic_score_gemma":0.02040185,"domain_scores_codex":[0.9996159,0.00007061402,0.00003213926,0.00007865987,0.00009551471,0.0001071027],"domain_scores_gemma":[0.9972407,0.0007449817,0.001138003,0.0001596529,0.0003158702,0.0004008296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005247336,0.00002211632,0.9840859,0.00009331684,0.0001154392,0.0006019879,0.001021815,0.0009963199,0.0005855677,0.001541703,0.0003599989,0.01052332],"study_design_scores_gemma":[0.000004370588,0.00002063617,0.9965017,0.00003104217,0.00005180042,0.00007303511,0.001035741,0.0005383908,0.0001518962,0.0002986702,0.001287226,0.000005386065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951036,0.0005815937,0.0001070795,0.0001403479,0.000003266258,0.0000050173,0.0001341287,0.000005089385,0.003919905],"genre_scores_gemma":[0.99927,0.0003190928,0.00004058996,0.00001472605,0.000006378725,0.000002308787,0.000101246,0.00000105143,0.0002444815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460625,"threshold_uncertainty_score":0.02904242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1933839131891501,"score_gpt":0.322075516384333,"score_spread":0.1286916031951829,"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."}}