HÀM LƯỢNG ZN, CU, PB TRONG TRẦM TÍCH, ĐẤT VÀ NƯỚC TẠI VÙNG VEN BIỂN BÁN ĐẢO CÀ MAU
Bibliographic record
Abstract
Pollutions of heavy metals are of concern because of their toxicity and their persistence in the environment. This study determined concentrations of Zn, Cu and Pb in sediments and water. Sediment and water samples were taken at the canals, rivers, estuaries, and swamps; soil and water samples were collected from mangrove forests in the dry and wet seasons. The results showed that, the levels of Zn, Cu and Pb in sediment samples decreased progressively from rivers to estuaries. Concentrations of Zn and Cu in water from the survey area were over the Vietnamese water standard for aquaculture, while Pb concentrations were well within the standard. Cu, Zn, Pb concentrations were positively correlated among themselves, and their levels decreased with distance from residential areas. The pollution and the mobility of Zn, Cu and Pb are needed to be studied further.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.016 |
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".