Ecological problem of Azerbaijan sector of the Caspian Sea
Bibliographic record
Abstract
The article presented the results of analyzes of heavy metals in the water, which has taken from the area of oil and gas fields (Oil Rocks, Gyarbi Absheron, Absheron Bankasi and Bulla) of the Azerbaijan sector of the Caspian Sea seasonally from 2011 to 2013. Identify the exceeding average level of permissible concentration for iron, zinc, copper; their values corresponded to Fe (0,163-0,197 mg/L) at the MPC 0.05 mg/L, Zn (0,141-0,171 mg/L) at the MPC 0.01-0.05 mg/L Cu (0,002-0,008 mg/L) at the MPC 0,001 mg/L. The highest concentrations of heavy and transition metals occur in iron and zinc in the water. Thus, the maximum concentration value for iron and zinc are shown on the oil-gas field Bulla and they are follows: 0,197 mg/L and 0,171 mg/L. In each of the investigated samples were found zinc, copper, cadmium, mercury, lead, iron and nickel.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".