{"id":"W2463995731","doi":"10.1021/acs.est.5b01962","title":"Dissolved Organic Matter Quality in a Shallow Aquifer of Bangladesh: Implications for Arsenic Mobility","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; National Institute of Environmental Health Sciences; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Government of Canada; U.S. Department of Energy","keywords":"Dissolved organic carbon; Environmental chemistry; Groundwater; Chemistry; Dissolution; Arsenic; Humic acid; Surface water; Sorption; Organic matter; Aquifer; Pollution; Environmental science; Environmental engineering; Geology; Adsorption; Ecology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108121,0.0002494569,0.0002183407,0.0005561888,0.0006301567,0.0005447434,0.0001624536,0.0003372319,0.0005915772],"category_scores_gemma":[0.0002918199,0.000171814,0.0001047635,0.0007268792,0.0004089052,0.0003272016,0.0003501899,0.0001817613,0.0001755838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144743,"about_ca_system_score_gemma":0.0005091829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0490357,"about_ca_topic_score_gemma":0.06015715,"domain_scores_codex":[0.9999251,0.00001062941,0.000008365269,0.00002176513,0.00001404592,0.00002001712],"domain_scores_gemma":[0.9998465,0.00002089168,0.00005079844,0.000004278161,0.00003982758,0.0000377258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002830301,0.0000653287,0.9088931,0.0001058435,0.0000462282,0.0008878092,0.001922959,0.0004488225,0.0777542,0.0001343891,0.0001626276,0.009295647],"study_design_scores_gemma":[0.000006922879,0.0001338013,0.9938216,0.000008761411,0.00002016394,0.0003271849,0.002569693,0.0004196811,0.002066087,0.0000988875,0.0005106033,0.00001657616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993173,0.00005590712,0.00004981211,0.00003552697,8.013099e-7,0.000002971991,0.0002164412,0.000001746903,0.000319526],"genre_scores_gemma":[0.9995401,0.00009424266,0.00005711393,0.000009893274,0.000001194325,0.000002659018,0.0001213969,6.276418e-7,0.0001727488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0490357,"threshold_uncertainty_score":0.09750056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838265649509409,"score_gpt":0.2760165006256976,"score_spread":0.2576338441306035,"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."}}