AVALIAÇÃO PRELIMINAR DAS CONCENTRAÇÕES DE METAIS PESADOS NOS SEDIMENTOS DA LAGOA DO ARAÇÁ, RECIFE, ESTADO DE PERNAMBUCO
Bibliographic record
Abstract
The mangroves have been suffering an intense process of environment degradation due to the amount of untreated residues discharged into effluents, principally by trace metals, thus causing contamination. The Araca Lagoon is formed by a mangrove ecosystem, which is situated at the Recife, Pernambuco, and it is part of an the Environment Preservation Area. However, a number of anthropic activities have been contributing to its environment contamination. Therefore, this research has the objective of making a preliminary assessment of the impact on the Araca Lagoon by such trace metals as chrome (Cr), iron (Fe), manganese (Mn) and zinc (Zn). In the sediment the manganese, zinc and chrome contents presented concentration levels above the limiting values for soils of Sao Paulo State (CETESB), and quality guides values of sediments in Canada (CCME). The iron content was compared with the limit established by the Environmental Protection Agency of the United States (USEPA) and its concentration in all stations was above the recommended limit value. The Araca Lagoon sediments presented contamination by chrome, iron, manganese and zinc and thus presents itself as an important local accumulator of these trace metals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".