{"id":"W3184048897","doi":"10.5430/rwe.v10n3p329","title":"Trade Policy, Infrastructure and Agricultural Output in Nigeria","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Liberalization; Agriculture; Context (archaeology); Distributed lag; Deregulation; Agricultural productivity; Economic policy; Business; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001184301,0.0001835782,0.000509732,0.001673172,0.00005916152,0.0001579231,0.0003359947,0.0001311679,0.0002606999],"category_scores_gemma":[0.00006164454,0.0001993783,0.00006510452,0.0008075745,0.0001284851,0.000535131,0.0001818276,0.0006781855,0.0008936181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006013869,"about_ca_system_score_gemma":0.0000593965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005460914,"about_ca_topic_score_gemma":0.0007912036,"domain_scores_codex":[0.997786,0.00005221416,0.0006819771,0.0006004508,0.00003013845,0.0008492443],"domain_scores_gemma":[0.9992284,0.000165897,0.0001065919,0.0003168877,0.000007449559,0.0001747796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001812111,0.0000323001,0.7112653,0.00006296263,0.00001193576,0.000003689484,0.0006918528,0.00008708359,0.000004620243,0.2840684,0.002882218,0.0008714905],"study_design_scores_gemma":[0.0007588748,0.0000308674,0.6541001,0.00002473742,1.839887e-7,0.00000347163,0.0002466383,0.0005274754,0.00001310444,0.2811042,0.06298272,0.000207711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6268272,0.0003257854,5.92746e-7,0.007391654,0.00009674026,0.0003254405,0.0000278532,0.00001103089,0.3649937],"genre_scores_gemma":[0.9970604,0.00005792119,0.00006274067,0.0004647809,0.0002178153,0.00004923178,0.00001152754,0.00002128096,0.002054323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3702332,"threshold_uncertainty_score":0.9998843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04575897949945774,"score_gpt":0.2837866033260975,"score_spread":0.2380276238266397,"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."}}