{"id":"W4391743400","doi":"10.1038/s43247-024-01250-9","title":"How to transform Africa’s food system","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"European Commission","keywords":"Food systems; Adaptation (eye); Geography; Food security; Climate change; Development economics; Socioeconomics; Ecology; Agriculture; Economics; Psychology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001109995,0.0001183216,0.0001006752,0.00001076007,0.0003281317,0.0001620169,0.0006654852,0.00005239583,0.0000494464],"category_scores_gemma":[0.000004967851,0.00003998002,0.00008883845,0.0002253421,0.00007264118,0.0001214134,0.0001829685,0.0001311784,0.0004403803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004929079,"about_ca_system_score_gemma":0.000003493111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001690316,"about_ca_topic_score_gemma":0.0001325188,"domain_scores_codex":[0.9991777,0.00005773659,0.0001341283,0.0002350136,0.0001832118,0.000212234],"domain_scores_gemma":[0.9994639,0.0001048927,0.00001872998,0.0002718563,0.000007793422,0.0001327958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009926615,0.0002200945,0.0003519557,0.00004591102,0.00006744131,0.000006111944,0.001622175,0.0001681578,0.1673851,0.0258434,0.00370076,0.800579],"study_design_scores_gemma":[0.00002388797,0.0002053894,0.01756609,0.00005003706,0.00001481716,0.000008403967,0.001427436,0.0002602798,0.001419642,0.00006554686,0.9788035,0.0001549443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8867708,0.01563126,0.0005953878,0.07699963,0.0001977106,0.00122711,0.0001711168,0.0005224886,0.01788446],"genre_scores_gemma":[0.9943846,0.001031316,0.0008182603,0.00003812392,0.00006711919,0.0001024477,0.00003794165,0.000001021327,0.00351915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9751028,"threshold_uncertainty_score":0.5660345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751064541923881,"score_gpt":0.1994019780734196,"score_spread":0.1718913326541808,"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."}}