{"id":"W2342802836","doi":"10.1057/9781137298737_9","title":"Between Markets and Masses: Food Assistance and Food Banks in South Africa","year":2014,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Food security; Social protection; Unemployment; Social security; Food insecurity; Development economics; Economics; Cash transfers; Cash; Agriculture; Food aid; Poverty; Economic growth; Business; Economic policy; Geography; Market economy; Finance","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":[0.0007803634,0.0004216446,0.0001955089,0.0008998755,0.005541615,0.005615133,0.0004807448,0.002360797,0.01739415],"category_scores_gemma":[0.001101438,0.0003367067,0.0001375533,0.001670017,0.005437908,0.005287199,0.004070828,0.002761441,0.001451348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004084181,"about_ca_system_score_gemma":0.004425697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008586057,"about_ca_topic_score_gemma":0.02119283,"domain_scores_codex":[0.9996725,0.0001329927,0.00001106304,0.00002862102,0.00004972571,0.0001050946],"domain_scores_gemma":[0.9997439,0.0001461967,0.00002816461,0.00000735221,0.00001558994,0.00005887209],"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":[0.00005414167,0.00005435927,0.0008742848,0.000417346,0.000003714743,0.001410869,0.1056337,0.0001771195,0.0005800501,0.7117984,0.09989578,0.07910031],"study_design_scores_gemma":[0.00001298433,0.0000204906,0.001697082,0.0006865503,0.000002692086,0.000415709,0.03607475,0.00006963598,0.0001167678,0.03713856,0.9237569,0.00000782264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0473958,0.1237307,0.0008147548,0.109767,0.002579709,0.0001132733,0.00006119593,0.00003327326,0.7155042],"genre_scores_gemma":[0.4301402,0.08487993,0.00105381,0.01148785,0.001083892,0.0001530168,0.00004266316,0.0000593642,0.4710993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01739415,"threshold_uncertainty_score":0.05818927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101046548725414,"score_gpt":0.3424537095387513,"score_spread":0.2323490546662099,"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."}}