{"id":"W2101439708","doi":"10.1093/heapol/17.suppl_1.30","title":"Geographic patterns of deprivation in South Africa: informing health equity analyses and public resource allocation strategies","year":2002,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cape Town; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Equity (law); Socioeconomic status; Context (archaeology); Index (typography); Developing country; Geography; Metropolitan area; Human Development Index; Public economics; Economic growth; Medicine; Environmental health; Human development (humanity); Economics; Population; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493378,0.00008641958,0.000244897,0.0004169554,0.00062477,0.00009525348,0.00007487651,0.00007440476,0.00000817065],"category_scores_gemma":[0.0003974689,0.00008583953,0.00001889435,0.000462455,0.00008365345,0.0003543512,0.00004227962,0.0001468917,3.236783e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009959737,"about_ca_system_score_gemma":0.0004660059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08537717,"about_ca_topic_score_gemma":0.01097518,"domain_scores_codex":[0.9983039,0.0002668506,0.0004589467,0.0001471072,0.0002229868,0.0006002079],"domain_scores_gemma":[0.9990517,0.0002689254,0.0002872996,0.00008279897,0.0000320481,0.0002772243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005589336,0.00002005978,0.6654379,0.0008539148,0.000006284807,6.392499e-7,0.2481418,0.00005797094,4.139402e-7,0.06057311,0.0001072042,0.0247952],"study_design_scores_gemma":[0.0003726619,0.00008766558,0.8182221,0.0004757361,0.000002862767,0.00000117197,0.1630247,0.000770703,7.054751e-7,0.001112183,0.01578039,0.0001490963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564784,0.00485021,0.0004158077,0.03447824,0.00004019184,0.0003142151,0.00002310984,0.00004315744,0.003356731],"genre_scores_gemma":[0.9945301,0.00157784,0.00009472308,0.003631187,0.0001197887,0.000007295599,0.000009751083,0.000004586347,0.00002476065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1527843,"threshold_uncertainty_score":0.9207134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.238763281154398,"score_gpt":0.457771028852758,"score_spread":0.21900774769836,"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."}}