{"id":"W2229451710","doi":"10.1007/978-1-4020-9382-1_1","title":"Characteristics and Determinants of Food Insecurity in Sub-Saharan Africa","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Food security; Poverty; Livelihood; Agriculture; Development economics; Food insecurity; Productivity; Inequality; Agricultural productivity; Language change; Economics; Economic growth; Business; Geography","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":[0.0002715474,0.0001682762,0.0001976208,0.0008057568,0.0005050453,0.0006365287,0.0002951025,0.0002929592,0.001957115],"category_scores_gemma":[0.001707255,0.0002228785,0.0002276553,0.002525057,0.0003166503,0.0005984414,0.0005236232,0.000558196,0.0002029674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003805159,"about_ca_system_score_gemma":0.0004529741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738017,"about_ca_topic_score_gemma":0.02852914,"domain_scores_codex":[0.9998505,0.00005087753,0.00001286605,0.00001564651,0.00002456842,0.00004548917],"domain_scores_gemma":[0.9996129,0.0001087883,0.0001515171,0.00001300432,0.00002856012,0.00008515977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003624307,0.00006388324,0.9824831,0.00002971498,0.00004510906,0.0003738594,0.00290242,0.0001334778,0.0001526037,0.0008321332,0.0009904833,0.01195687],"study_design_scores_gemma":[0.000001246195,0.00002070449,0.9954796,0.0000478096,0.000008640362,0.0001995819,0.002984848,0.0001127503,0.000016446,0.000365115,0.0007593791,0.000003912616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931478,0.003432372,0.00008054652,0.0007345169,0.00002307516,0.000006587342,0.0004129076,0.000002062014,0.002160053],"genre_scores_gemma":[0.9957557,0.003166885,0.00008008426,0.00005999469,0.00002499687,0.000009883207,0.0001992916,0.000001982159,0.0007011372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738017,"threshold_uncertainty_score":0.03455806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711074245433037,"score_gpt":0.3975938224199975,"score_spread":0.2264863978766937,"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."}}