{"id":"W4414568715","doi":"10.1016/bs.af2s.2025.09.001","title":"Demographic changes, poverty, and economy: Impact on food security in Nigeria","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in food security and sustainability","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Food security; Poverty; Prosperity; Productivity; Government (linguistics); Socioeconomic status; Population; Agriculture; Inequality","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":[0.0001585414,0.0001894139,0.0001124064,0.0004812504,0.001160669,0.001921465,0.0001407985,0.0003913153,0.004952698],"category_scores_gemma":[0.0002165752,0.000104385,0.00009134153,0.001351711,0.0004554019,0.001168233,0.0007017322,0.0007815713,0.0003856529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383831,"about_ca_system_score_gemma":0.002133419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382041,"about_ca_topic_score_gemma":0.05498752,"domain_scores_codex":[0.9999515,0.00001489409,0.000002973815,0.000004662912,0.00001036178,0.00001561136],"domain_scores_gemma":[0.9999409,0.00002631393,0.00001024388,0.000001293389,0.00000786101,0.00001337716],"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":[0.00009112575,0.0001437225,0.04322742,0.0009352752,0.00001159622,0.002014572,0.02737135,0.001037912,0.0008301198,0.423739,0.08254018,0.4180577],"study_design_scores_gemma":[0.000004049537,0.00007460442,0.07099836,0.002222609,0.0000171774,0.0009591953,0.04069285,0.0004995937,0.0004056568,0.02588933,0.8582185,0.00001808443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1505934,0.2064149,0.0005939143,0.01907629,0.002148157,0.00005268738,0.0004698396,0.00002282786,0.6206281],"genre_scores_gemma":[0.5435558,0.2485109,0.0008785831,0.001449501,0.0004593921,0.00005728792,0.0002528544,0.00001824518,0.2048174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01382041,"threshold_uncertainty_score":0.02747995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412891661294074,"score_gpt":0.3817012887285263,"score_spread":0.3475723721155856,"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."}}