{"id":"W2134752780","doi":"10.1016/j.watres.2010.04.007","title":"Assessment of arsenic exposure from groundwater and rice in Bengal Delta Region, West Bengal, India","year":2010,"lang":"en","type":"article","venue":"Water Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Groundwater; Arsenic; Biogeochemical cycle; Aquifer; West bengal; Population; Groundwater recharge; Arsenic toxicity; Environmental chemistry; Environmental science; Hydrology (agriculture); Water resource management; Environmental engineering; Chemistry; Geology; Environmental health; Socioeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009973686,0.00007950488,0.0001035962,0.0001011972,0.0001107054,0.00004073439,0.0001831362,0.00009398517,0.001498596],"category_scores_gemma":[0.00003355596,0.00005954885,0.0000191403,0.000143129,0.0002646811,0.0002449037,0.0002939472,0.0005022652,0.00008293044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007365012,"about_ca_system_score_gemma":0.00001737961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003882251,"about_ca_topic_score_gemma":0.005173883,"domain_scores_codex":[0.9985558,0.000191187,0.0002075804,0.0002820404,0.0004770206,0.0002863201],"domain_scores_gemma":[0.9995624,0.00005278896,0.00002645595,0.0002442381,0.00002758582,0.00008647607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001028469,0.0001138666,0.4862294,0.000008361787,0.000005132117,0.0000169056,0.003328163,0.000003370884,0.5043772,0.0002477646,0.0003364348,0.005322989],"study_design_scores_gemma":[0.0004503019,0.00007538091,0.9752758,0.000007759482,0.00000240063,0.00000427791,0.0004431919,0.0002962139,0.02058827,0.000706589,0.002068541,0.0000813146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952378,0.000007667147,0.00005132091,0.0007125232,0.00006069028,0.0002180237,0.000004087867,0.000008753766,0.003699167],"genre_scores_gemma":[0.9987211,0.0000189961,0.0004186159,0.00004365105,0.00002820308,0.00002688823,0.00003869179,0.000009406848,0.0006944644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4890463,"threshold_uncertainty_score":0.9994141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288141840482613,"score_gpt":0.3135508438286255,"score_spread":0.2847366597803642,"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."}}