{"id":"W2130612070","doi":"10.1002/hyp.1292","title":"Transport, distribution and speciation of mercury in the Amazon River at the confluence of black and white waters of the Negro and Solimões Rivers","year":2003,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Tributary; Confluence; Particulates; Dissolved organic carbon; Mercury (programming language); Environmental chemistry; Amazon rainforest; Total organic carbon; Hydrology (agriculture); Geochemical cycle; Organic matter; Chemistry; Environmental science; Geology; Ecology","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":[0.000241649,0.00006530781,0.0001120867,0.00000591806,0.00007737774,0.000003254688,0.00006900312,0.00003268705,0.0000411788],"category_scores_gemma":[0.000114684,0.00002799033,0.00001395117,0.0001318879,0.001699739,0.00008087365,0.00003348327,0.00004770784,4.414443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008212538,"about_ca_system_score_gemma":0.000003976982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005301508,"about_ca_topic_score_gemma":0.00007045611,"domain_scores_codex":[0.9994392,0.00007380712,0.0001507521,0.0001076593,0.0001443343,0.00008423281],"domain_scores_gemma":[0.9996688,0.0001275306,0.0001100439,0.00006686099,0.00001156284,0.00001521668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003297445,0.00002960885,0.9874831,0.00005889679,0.000006505106,3.492261e-7,0.00661151,0.0002697638,0.005072796,0.0001424296,0.00005374409,0.0002383406],"study_design_scores_gemma":[0.0001806723,0.00006470034,0.9860428,0.00001323494,0.00002309448,0.000003100781,0.0006528652,0.00002980796,0.01122404,0.001364667,0.0003617654,0.0000392325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984478,0.000165106,0.00002215678,0.0006422954,0.000006655423,0.0001558275,0.00002077898,0.000001733357,0.0005376649],"genre_scores_gemma":[0.9992225,0.0006462724,0.000009591997,0.00009451846,0.000001872358,0.000003201735,0.000002205973,0.000001157318,0.00001863358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006151246,"threshold_uncertainty_score":0.6262761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366109077194721,"score_gpt":0.2201250571097401,"score_spread":0.2064639663377929,"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."}}