{"id":"W2910097742","doi":"10.1007/s00244-018-00588-4","title":"Bayesian Hierarchical Models as Tools to Evaluate the Association Between Groundwater Quality and the Occurrence of Type 2 Diabetes in Rural Saskatchewan, Canada","year":2019,"lang":"en","type":"article","venue":"Archives of Environmental Contamination and Toxicology","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Health, Saskatchewan; Saskatchewan Health Research Foundation","keywords":"Environmental health; Medicine; Type 2 diabetes; Credible interval; Ecological study; Diabetes mellitus; Relative risk; Public health; Incidence (geometry); Socioeconomic status; Demography; Confidence interval; Gerontology; Population; Internal medicine; Endocrinology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007651741,0.0005863774,0.0005380067,0.002326272,0.001199344,0.001308079,0.001236141,0.000580493,0.001855705],"category_scores_gemma":[0.02288195,0.0004193842,0.0008113621,0.00235514,0.0008161208,0.0005094716,0.0009510022,0.0009402268,0.000157381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009763529,"about_ca_system_score_gemma":0.0138805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9488182,"about_ca_topic_score_gemma":0.9571241,"domain_scores_codex":[0.9962004,0.002838875,0.000128096,0.0002431666,0.0003015025,0.0002879595],"domain_scores_gemma":[0.9883328,0.009267329,0.0005995275,0.0003780725,0.001061263,0.0003609745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009692945,0.0002723323,0.6737742,0.00008937862,0.001472928,0.0002509297,0.0009048404,0.2522877,0.001016285,0.008784051,0.002778853,0.0573992],"study_design_scores_gemma":[0.0001216756,0.0001523474,0.1847799,0.0000538856,0.0002757037,0.00008176831,0.001639081,0.8001078,0.0003763416,0.01074195,0.001602077,0.00006739458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921323,0.0006868707,0.07024051,0.0006974751,0.00003141508,0.0002355617,0.003134184,0.0003705605,0.003280379],"genre_scores_gemma":[0.9743687,0.0002447705,0.02287277,0.00006053581,0.000006046107,0.00009003395,0.0009511191,0.00003715757,0.00136896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05118179,"threshold_uncertainty_score":0.1029664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323044225288304,"score_gpt":0.2460600393731061,"score_spread":0.2328295971202231,"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."}}