{"id":"W4323430128","doi":"10.33423/jabe.v25i1.5862","title":"Nigeria’s Food Prospects in 2050: A Back-of-the-Envelope Calculation","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic Research Service; International Fine Particle Research Institute; U.S. Department of Agriculture","keywords":"Envelope (radar); Business; Economics; Telecommunications; Engineering","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":[0.0007316309,0.00039595,0.0002905044,0.001483485,0.0005793557,0.001860861,0.0005715335,0.0009028444,0.004512609],"category_scores_gemma":[0.002817729,0.0002680054,0.0009642885,0.00139803,0.0004340459,0.002217296,0.00114939,0.001315834,0.0009405064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202905,"about_ca_system_score_gemma":0.0009736963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637028,"about_ca_topic_score_gemma":0.009095551,"domain_scores_codex":[0.9997351,0.00005287783,0.00001327575,0.0000258361,0.00008983436,0.00008308591],"domain_scores_gemma":[0.9996643,0.0001022584,0.00004831157,0.00002253976,0.00010951,0.00005311414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003567297,0.0001421187,0.08223148,0.0003952907,0.0001560839,0.002225202,0.001039458,0.4233636,0.001083021,0.3761262,0.01791621,0.09496452],"study_design_scores_gemma":[0.00007669444,0.0005141624,0.0969303,0.0007957164,0.0001797421,0.002302093,0.004581106,0.560824,0.001826147,0.192484,0.1392693,0.0002167996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7202854,0.005185703,0.05034995,0.004731749,0.0007466856,0.0001469483,0.007352142,0.0002608513,0.2109405],"genre_scores_gemma":[0.9834436,0.001891914,0.00477385,0.0002133307,0.00003238639,0.00006931178,0.001667129,0.00003771842,0.007870886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637028,"threshold_uncertainty_score":0.03254998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258218231480024,"score_gpt":0.1827966933829721,"score_spread":0.1702145110681719,"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."}}