{"id":"W2155081654","doi":"10.1016/s0048-9697(02)00576-4","title":"Application of ultrafiltration and stable isotopic amendments to field studies of mercury partitioning to filterable carbon in lake water and overland runoff","year":2003,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Electric Power Research Institute","keywords":"Mercury (programming language); Dissolved organic carbon; Surface runoff; Environmental chemistry; Methylmercury; Chemistry; Ultrafiltration (renal); Total organic carbon; Isotopes of carbon; Environmental science; Stable isotope ratio; Bioaccumulation; Ecology; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009538616,0.0005661281,0.000563116,0.0004750483,0.001276064,0.0009822545,0.000602934,0.001115571,0.0005073519],"category_scores_gemma":[0.001491749,0.0004661537,0.0005268679,0.000528248,0.0007331123,0.0009440689,0.0004777084,0.0009802683,0.00009554921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781334,"about_ca_system_score_gemma":0.002082783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04385891,"about_ca_topic_score_gemma":0.05115387,"domain_scores_codex":[0.9994848,0.00008675594,0.00005073224,0.0001756021,0.0000937338,0.0001082577],"domain_scores_gemma":[0.9989348,0.0004311208,0.0001346332,0.0001194295,0.0002351984,0.0001447626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001862211,0.0005702254,0.003029019,0.0001173404,0.00003709483,0.00002998072,0.0002546799,0.0007187233,0.9830256,0.0001273999,0.00005951346,0.0101682],"study_design_scores_gemma":[0.000236719,0.002334164,0.03037785,0.00001634622,0.00008517562,0.0001650928,0.0003360611,0.003699575,0.9609398,0.0002833331,0.001485878,0.00004007378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972886,0.0002887652,0.001789899,0.00006143611,0.0000263825,0.00006572904,0.0001295749,0.0000243232,0.0003254275],"genre_scores_gemma":[0.9869063,0.0006513637,0.01005133,0.0001074084,0.00002686866,0.000162505,0.000285571,0.00003774464,0.00177081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04385891,"threshold_uncertainty_score":0.08720726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328034763497772,"score_gpt":0.2443326109889784,"score_spread":0.2310522633540006,"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."}}