{"id":"W2902231184","doi":"10.3390/su10124425","title":"Food Swamps and Poor Dietary Diversity: Longwave Development Implications in Southern African Cities","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Food security; Vulnerability (computing); Malnutrition; Environmental health; Geography; Urbanization; Economic growth; Business; Agriculture; Medicine; Economics","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":[0.0006285896,0.0002561178,0.0002715129,0.001070038,0.002053087,0.001405762,0.0003773788,0.0004902869,0.002170678],"category_scores_gemma":[0.002052895,0.0002286348,0.0002783869,0.00300368,0.001581508,0.001489756,0.003445952,0.0007517045,0.00008702651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903065,"about_ca_system_score_gemma":0.001382123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05719871,"about_ca_topic_score_gemma":0.149015,"domain_scores_codex":[0.9995183,0.0001587229,0.00002190292,0.00004465281,0.0000336678,0.000222706],"domain_scores_gemma":[0.998634,0.000254943,0.0005886366,0.00005057993,0.0001109785,0.0003607506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009076415,0.00006893793,0.9609894,0.0000958188,0.00005245657,0.001240046,0.02544758,0.0002729699,0.0002831876,0.001306124,0.0004977503,0.009654988],"study_design_scores_gemma":[0.000002224719,0.00003960462,0.9461334,0.00009643488,0.00001463584,0.0001672468,0.05209769,0.0001377308,0.00004023436,0.0004244434,0.0008363049,0.00001003772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985532,0.0003744679,0.00002454646,0.0004521525,0.000003379566,0.00000375735,0.00006117004,5.992749e-7,0.0005267739],"genre_scores_gemma":[0.9994509,0.000359607,0.00001625318,0.00003575961,0.000003699966,0.000004270755,0.0000274428,5.394743e-7,0.0001015248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05719871,"threshold_uncertainty_score":0.1137316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238806740180348,"score_gpt":0.2625425958876023,"score_spread":0.2401545284857988,"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."}}