{"id":"W2143128826","doi":"10.1371/journal.pone.0110694","title":"Local Distributions of Wealth to Describe Health Inequalities in India: A New Approach for Analyzing Nationally Representative Household Survey Data, 1992–2008","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Inequality; Survey data collection; Statistics; Geography; Econometrics; Mathematics","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":[0.002873115,0.0003736057,0.00036941,0.00445124,0.0004404597,0.00115722,0.0006608776,0.0001979521,0.0009870788],"category_scores_gemma":[0.007726514,0.0002053567,0.0007569773,0.005211793,0.0005908058,0.0005263246,0.00120887,0.0006891829,0.0002602596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008661494,"about_ca_system_score_gemma":0.0006486687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02588752,"about_ca_topic_score_gemma":0.02575953,"domain_scores_codex":[0.9985304,0.0006658852,0.000177475,0.0002321728,0.000277076,0.0001169613],"domain_scores_gemma":[0.9960175,0.001629721,0.000793057,0.0009767998,0.0004754706,0.0001075519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006266234,0.00002962755,0.9679416,0.00004114806,0.0002971693,0.00005722691,0.0007886806,0.005675639,0.000203002,0.0006551072,0.001470484,0.02277757],"study_design_scores_gemma":[0.000005556513,0.00003428521,0.9839901,0.00002053503,0.00006461255,0.0001080149,0.0009834603,0.01219706,0.0002518108,0.0008018338,0.001524464,0.00001827197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593588,0.0002621981,0.02757007,0.0001429826,0.0000168559,0.0002119287,0.008898694,0.0002486861,0.003289966],"genre_scores_gemma":[0.9824023,0.00008553795,0.01209033,0.00002051684,0.00001076987,0.0002644352,0.004764568,0.00002719841,0.0003343422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02588752,"threshold_uncertainty_score":0.05147368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2907795405385976,"score_gpt":0.3927871578630024,"score_spread":0.1020076173244049,"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."}}