Concentración de plomo en agua y sedimentos en el humedal La Segua, provincia de Manabí
Bibliographic record
Abstract
The present investigation evaluates the incidence of the productive activities in the concentration of lead (Pb) in water and sediments present in La Segua wetland, by means of a diagnosis of the productive activities around the wetland, two activities that directly influence the lead contamination are (aquaculture and agricultural activity); five sampling points were established, located at strategic points in the body of water, next to productive activities; once the results of the laboratory were obtained, the presence of Lead in water and sediment at various sampling points (PM) was determined and compared with current environmental legislation (TULSMA, RO N ° 387), instead the specific results of the sediment sample were compared with international environmental regulations (Canadian Council of Ministers of the Environment) with the sediment quality criterion for the protection of aquatic life in estuaries. According to the results, the concentration of Pb in water in December at sampling points B and C was 0.012 mg / l, a value that is above the maximum permissible limit of national legislation; on the other hand, the results of Pb in sediment registered the highest concentration at the sampling point C in October, with 1,736 mg / Kg /; the lowest was recorded at sampling point B in December, with 0.272 mg / Kg, confirming that the values are below the permitted level of Canadian regulations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".