{"id":"W2128781069","doi":"10.3390/ijerph110201803","title":"A Population-Based Case-Control Study of Drinking-Water Nitrate and Congenital Anomalies Using Geographic Information Systems (GIS) to Develop Individual-Level Exposure Estimates","year":2014,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Prince Edward Island; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Nitrate; Logistic regression; Environmental health; Population; Medicine; Epidemiology; Incidence (geometry); Biology; Internal medicine; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003597887,0.0001090454,0.0002751005,0.001119127,0.000168622,0.0002106042,0.0001316632,0.00005411155,0.00004282068],"category_scores_gemma":[0.0005536112,0.00007902578,0.00002384676,0.000195856,0.00009983116,0.000498052,0.000095436,0.0002968508,0.00000227663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715382,"about_ca_system_score_gemma":0.0002497856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285451,"about_ca_topic_score_gemma":0.0001258554,"domain_scores_codex":[0.9972089,0.00030988,0.0006499741,0.0001220281,0.001371337,0.0003378876],"domain_scores_gemma":[0.9984168,0.0003386331,0.0001761852,0.00009233566,0.000541935,0.0004341364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003093772,0.0005281467,0.9852149,0.00006699954,0.000340912,0.0001052332,0.001399678,0.0000750567,0.001322242,0.00005475861,0.00001137341,0.0105713],"study_design_scores_gemma":[0.003169996,0.003897761,0.9842901,0.0001144781,0.00001658746,0.001235681,0.004002912,0.00289447,0.0001413027,0.00003023713,0.0001201481,0.00008632411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975587,0.000157235,0.0005665385,0.001027958,0.000055585,0.0005187274,0.00009525086,0.00000336971,0.00001667894],"genre_scores_gemma":[0.999239,0.00003926618,0.0004215776,0.0001699586,0.00006689002,0.0000093012,0.00003801182,0.000009307562,0.000006688746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048497,"threshold_uncertainty_score":0.3222578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07637166599145509,"score_gpt":0.3561218147135524,"score_spread":0.2797501487220974,"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."}}