{"id":"W2521617139","doi":"10.1080/01459740.2016.1231676","title":"Decoding the Type 2 Diabetes Epidemic in Rural India","year":2016,"lang":"en","type":"article","venue":"Medical Anthropology","topic":"Diabetes Management and Education","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; Canadian Mennonite University; University of Guelph","funders":"Canadian Institutes of Health Research; International Development Research Centre","keywords":"Tamil; Socioeconomic status; Public health; Elite; Disease; Type 2 diabetes; Type 2 Diabetes Mellitus; Rural area; Gerontology; Obesity; Geography; Socioeconomics; Diabetes mellitus; Medicine; Politics; Environmental health; Economic growth; Sociology; Political science; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005733598,0.00007542194,0.0001880235,0.0000862987,0.00004901084,0.000003375883,0.0001269479,0.0001043202,0.007269991],"category_scores_gemma":[0.001636859,0.00003529499,0.00003073127,0.000187476,0.0007077922,0.00004116597,0.00006201245,0.0001429662,0.0003846173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004941606,"about_ca_system_score_gemma":0.00007450276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003942383,"about_ca_topic_score_gemma":0.00003329891,"domain_scores_codex":[0.9990817,0.00008240162,0.0002028973,0.0001269941,0.0001725657,0.0003334625],"domain_scores_gemma":[0.9992749,0.000400604,0.00003938364,0.0001592765,0.00002129613,0.0001045486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001360355,0.00009122612,0.8113204,0.00001593404,0.0000212084,0.000009958443,0.0001156783,1.37604e-8,0.0002491635,0.00176054,0.02721349,0.1591888],"study_design_scores_gemma":[0.002078294,0.0006207933,0.9074797,0.0004571668,0.00006866483,0.00001505254,0.001117471,0.0002773853,0.0007200236,0.003654848,0.08331779,0.0001928246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8817551,0.0004704939,0.00005105422,0.1139582,0.001213016,0.0001155723,3.061141e-7,0.00002844588,0.002407906],"genre_scores_gemma":[0.9946085,0.0005531181,0.00003027677,0.003613562,0.000366242,0.00001353519,0.000006016491,0.00000817449,0.0008005319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.158996,"threshold_uncertainty_score":0.9936375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637984115027544,"score_gpt":0.3261018405182912,"score_spread":0.3097219993680158,"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."}}