{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982037,0.0001049033,0.0001061685,0.0004492015,0.0004281207,0.001451069,0.00007426828,0.0002264573,0.001840159],"category_scores_gemma":[0.0009549455,0.00008636365,0.0000942972,0.0008969328,0.0005084404,0.0005243951,0.0003842737,0.0004251316,0.0001469143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318071,"about_ca_system_score_gemma":0.0009386377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968196,"about_ca_topic_score_gemma":0.03046945,"domain_scores_codex":[0.9999285,0.00002038258,0.000005868111,0.00000783465,0.00001147327,0.00002602868],"domain_scores_gemma":[0.9994425,0.0002499477,0.0002065022,0.00001060356,0.00004563425,0.00004481682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002329907,0.0002231129,0.9214317,0.0001364474,0.00004216135,0.001280373,0.001854514,0.01434477,0.001304599,0.03610526,0.001299056,0.02174515],"study_design_scores_gemma":[0.00003083618,0.0002051032,0.9320152,0.0003902503,0.00008579544,0.0005305505,0.01682541,0.020604,0.001507692,0.01689185,0.01088687,0.00002636753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925402,0.0004212793,0.00009809522,0.0003796791,0.000005620784,0.000002655118,0.00008934474,0.000001925443,0.006461199],"genre_scores_gemma":[0.9985636,0.0005513541,0.00004505219,0.00001533543,0.000002955478,0.000001660014,0.0000482568,8.942471e-7,0.0007708606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968196,"threshold_uncertainty_score":0.0391348,"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."}}