{"id":"W2896197879","doi":"10.5539/jas.v10n11p158","title":"Soybean and Maize Zoning in West African Economic and Monetary Union—A simulation Approach","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zoning; Yield (engineering); Agriculture; Geography; Crop; Agricultural economics; Economics; Forestry; Political science; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009315789,0.00009335583,0.000163193,0.00003024984,0.0002207289,0.0001959027,0.0002249851,0.00003763409,0.00002260461],"category_scores_gemma":[0.00005228717,0.00003058149,0.00002890079,0.0002336059,0.0002831409,0.001128732,0.00008310579,0.0001190921,0.000004061549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008613148,"about_ca_system_score_gemma":0.00001405318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005443346,"about_ca_topic_score_gemma":0.0003065893,"domain_scores_codex":[0.9990952,0.00005907051,0.0003106394,0.0001930132,0.0001440882,0.0001980143],"domain_scores_gemma":[0.9993501,0.0001147064,0.0003085486,0.00002491519,0.00007977401,0.0001219621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001265888,0.0001525519,0.1471716,0.00001986739,0.00003488249,0.000007386011,0.004469431,0.002319686,0.7764335,0.0007705619,0.0004794774,0.06801441],"study_design_scores_gemma":[0.0001126832,0.0003113048,0.9915329,0.00003362115,0.000005684252,0.0001307855,0.003358994,0.003556151,0.0002073361,0.00003517605,0.0006106935,0.0001046627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975049,0.0001267543,0.00001128677,0.000788366,0.00015244,0.00007298149,0.000001537133,0.000005318877,0.00133644],"genre_scores_gemma":[0.9991602,0.00002802872,0.0003025082,0.00003319032,0.0004285927,5.256559e-7,8.660049e-7,3.667878e-7,0.00004573609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8443612,"threshold_uncertainty_score":0.1889094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086943238011018,"score_gpt":0.2323851035869131,"score_spread":0.2115156712068029,"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."}}