{"id":"W2550796508","doi":"10.1007/s00244-016-0325-1","title":"Environmental and Anthropogenic Factors Influencing Mercury Dynamics During the Past Century in Floodplain Lakes of the Tapajós River, Brazilian Amazon","year":2016,"lang":"en","type":"article","venue":"Archives of Environmental Contamination and Toxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Biodome; Université du Québec à Montréal","funders":"International Development Research Centre","keywords":"Floodplain; Amazon rainforest; Pluvial; Environmental science; Watershed; Hydrology (agriculture); Mercury (programming language); Sediment; Physical geography; Ecology; Geology; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001010899,0.0001521004,0.0001849598,0.00005245383,0.0001862709,0.000004370006,0.0001471865,0.00005144882,0.000223652],"category_scores_gemma":[0.00002149649,0.0000873126,0.00005112015,0.00004432911,0.002425967,0.0001567018,0.0003564274,0.00009068196,0.00000340641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005154,"about_ca_system_score_gemma":0.000003197174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004470266,"about_ca_topic_score_gemma":0.0004549389,"domain_scores_codex":[0.9989781,0.0001441736,0.000289485,0.0002246797,0.000164629,0.000198909],"domain_scores_gemma":[0.9993314,0.0002719398,0.0001881486,0.0001556522,5.266389e-7,0.00005234101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001838275,0.00005523575,0.6707577,0.000006355182,0.000013566,5.682901e-7,0.002504792,0.000003440769,0.3138848,0.00007203905,0.00000124753,0.01268193],"study_design_scores_gemma":[0.000719781,0.00009740335,0.9803342,0.0000197332,0.00001763645,0.000008256215,0.003279115,0.00004687751,0.01512414,0.0001321441,0.000117978,0.0001027049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987913,0.0001920632,0.00001522382,0.0002932538,0.0000558916,0.0002660711,0.0001070208,0.000004118672,0.0002749998],"genre_scores_gemma":[0.9986061,0.001178671,0.00002450066,0.00004894501,0.000007093731,0.000008109366,0.000004643251,0.000008695325,0.0001132711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3095766,"threshold_uncertainty_score":0.8938578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004123007485667764,"score_gpt":0.2011947867459556,"score_spread":0.1970717792602878,"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."}}