Spatial Distribution of Nitrogen in Surface Sediments of Daihai Lake and Its Environmental Significance
Bibliographic record
Abstract
Daihai Lake is one of the representative inland lakes in grassland area in China. Recently, the lake is shrinking and serious eutrophication. This paper interpreted the spatial distribution patterns of total nitrogen (TN), ammonium nitrogen (NH4+-N), nitrate nitrogen (NO3--N) and organic nitrogen (Org-N) in surface sediments systematically. The results indicated that the nitrogen content in the northwest, north and northeast of the lake was higher and the main species of nitrogen was Org-N which was more than 88% of TN. The contents and speciation distribution pattern of nitrogen in surface sediments indicated that the pollution sources of nitrogen in Daihai Lake were mainly from the northwest and north of the lake. Based on the sediment quality estimation guide which was enacted in term of ecology-toxic effects by Department of Environment and Energy of Ontario Province, Canada, 1992, the content of TN in surface sediment had certain ecological toxic effects on benthic organism and threatened benthic community and ecological environment.
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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) | 0.000 | 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 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".