{"id":"W2954343258","doi":"10.2166/wh.2019.216","title":"Estimated burden of disease from arsenic in drinking water supplied by domestic wells in the United States","year":2019,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Center for Environmental Health","keywords":"Environmental health; Arsenic; Arsenic contamination of groundwater; Hazard; Public health; Environmental science; Water supply; Maximum Contaminant Level; Medicine; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005373668,0.000054254,0.0001266867,0.00006875762,0.00002371143,0.00001237921,0.00007892041,0.00001726392,0.0004938723],"category_scores_gemma":[0.000002794432,0.00002743698,0.00001647058,0.00005363405,0.00003124818,0.0000970863,0.00002755459,0.0001071683,0.0000211186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006743362,"about_ca_system_score_gemma":0.00001135079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958583,"about_ca_topic_score_gemma":0.0001211397,"domain_scores_codex":[0.9992288,0.00007906159,0.0003204033,0.00007047803,0.0001624612,0.0001387954],"domain_scores_gemma":[0.99975,0.00003617155,0.00008422405,0.00006128904,0.000005947895,0.00006232587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002916913,0.000274387,0.8519738,0.00009207746,0.00001983986,0.00003395784,0.08786658,0.01786938,0.03405126,0.00003233567,0.00224067,0.005253999],"study_design_scores_gemma":[0.002673479,0.0002469636,0.9693511,0.0001979341,0.00001625947,0.000009609635,0.002719202,0.01443998,0.00267615,0.003195609,0.004337749,0.0001359484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936384,0.00003152884,0.00003577425,0.006095542,0.00003170004,0.0001218691,0.000003863689,0.000001472843,0.00003982351],"genre_scores_gemma":[0.9990283,0.0001426585,0.00005882837,0.0006269272,0.000008137104,7.635155e-7,0.00006332053,0.000003520278,0.00006749298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173773,"threshold_uncertainty_score":0.5407555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185029760188836,"score_gpt":0.2674981278074182,"score_spread":0.2556478302055298,"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."}}