{"id":"W2558720326","doi":"10.1007/s11270-016-3179-2","title":"Mercury and Methylmercury Dynamics in Sediments on a Protected Area of Tagus Estuary (Portugal)","year":2016,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; Acadia University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Methylmercury; Mercury (programming language); Estuary; Environmental chemistry; Sink (geography); Contamination; Sediment; MERCURE; Environmental science; Chemistry; Hydrology (agriculture); Ecology; Bioaccumulation; Oceanography; Geology; Geomorphology; Biology; Geography","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":[0.0002711034,0.0001550848,0.0001880368,0.00008589882,0.00006775521,0.000004638468,0.00007538542,0.00007292829,0.000181961],"category_scores_gemma":[0.00003049374,0.0000902679,0.00003687286,0.000130947,0.0002110841,0.0002275134,0.0001069129,0.00007363164,0.000104652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960782,"about_ca_system_score_gemma":0.000008079469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006801914,"about_ca_topic_score_gemma":0.0003929164,"domain_scores_codex":[0.9988567,0.0000769779,0.0002732425,0.0002525811,0.000265161,0.0002753522],"domain_scores_gemma":[0.9996492,0.00002085187,0.0000746532,0.000170309,0.000009672122,0.00007534668],"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":[0.0003418585,0.0004201642,0.2981832,0.00005332515,0.00008642184,0.00001979387,0.004164707,0.0002571778,0.5477911,0.0002539907,0.001289262,0.147139],"study_design_scores_gemma":[0.001783073,0.0003981577,0.7934152,0.0002048365,0.00003731726,0.00001283107,0.0004376035,0.0006996783,0.2001126,0.001820791,0.0006644111,0.0004135293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951892,0.00003637838,0.0002027574,0.001496634,0.00009074563,0.0003006141,0.00002847044,0.00002762794,0.002627535],"genre_scores_gemma":[0.9990781,0.00005510379,0.00008533293,0.0001837937,0.00001330477,0.00003953039,0.000008601024,0.0000110821,0.0005251798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495232,"threshold_uncertainty_score":0.3681018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207487701045089,"score_gpt":0.2277857800981869,"score_spread":0.215710903087736,"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."}}