The evaluation of heavy metal content in water and sediments of small reservoirs in light of various environmental quality regulations
Bibliographic record
Abstract
This article reports the heavy metal concentrations assessed both in bottom sediments and water flowing into two small reservoirs at Krempna and Zesławice, southern Poland. The experiments were carried out in spring, summer, autumn and winter 2010-2011. The resulting concentrations of lead, cadmium, nickel, chromium and copper were compared with the Environmental Quality Standards, guidelines of the Regulation of the Minister of Environmental Protection, regulations of the Polish Geological Institute and State Institute of Environment Protection, Institute of Soil Science and Plant Cultivation, and with the regulations adopted in Germany, Denmark, the United States and Canada. Regarding the total heavy metal concentrations, water flowing into the examined reservoirs was not polluted. The highest concentrations of heavy metals were found in water flowing into the reservoirs in spring and summer. The heavy metal concentrations in sediments of the reservoirs at Krempna and Zesławice were much higher than the concentrations of the elements discussed present in waters flowing into these reservoirs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".