{"id":"W2016817143","doi":"10.1080/20421338.2014.976970","title":"Innovation and agricultural exports: the case of sub-Saharan Africa","year":2014,"lang":"en","type":"article","venue":"African Journal of Science Technology Innovation and Development","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Agriculture; Indigenous; Context (archaeology); Human capital; Business; Technological change; Liberalization; Economic geography; Intellectual property; Economic system; Economic growth; Natural resource economics; Economics; Geography; Political science; Market economy; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005418574,0.0002498571,0.0002596306,0.001071491,0.00320131,0.002866744,0.0003873938,0.001162684,0.004197869],"category_scores_gemma":[0.001511398,0.0001272259,0.0002626657,0.002323155,0.002145851,0.001530011,0.001946787,0.0009041521,0.0001323454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002494161,"about_ca_system_score_gemma":0.001448832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881704,"about_ca_topic_score_gemma":0.03910761,"domain_scores_codex":[0.9997442,0.00008805613,0.000008175527,0.00001689822,0.00002250659,0.0001200019],"domain_scores_gemma":[0.9993007,0.0004537556,0.000115768,0.00001235921,0.0000451795,0.00007218493],"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":[0.0005739673,0.0004758662,0.1484949,0.001076984,0.0001014203,0.1446514,0.1665948,0.01350457,0.003316741,0.4513423,0.003384291,0.0664828],"study_design_scores_gemma":[0.000186993,0.0003753918,0.1906836,0.001449626,0.0002343427,0.01783656,0.5294296,0.01131109,0.002177151,0.05981489,0.1864025,0.00009824109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744232,0.00153473,0.0002296879,0.001360754,0.000011069,0.00001182193,0.00002545796,0.000003138812,0.02240027],"genre_scores_gemma":[0.9942199,0.002124037,0.0001886298,0.00006182465,0.00001010322,0.000007136474,0.00001240686,0.00000237642,0.003373671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02881704,"threshold_uncertainty_score":0.0572986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853962498418812,"score_gpt":0.2463702816630068,"score_spread":0.2178306566788187,"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."}}