Distribution of Phosphorus and Nitrogen in the Sediments of the North Bay in Dianchi Lake
Bibliographic record
Abstract
Phosphorus and nitrogen fractions of four core sediment samples collected from the north bay of Dianchi Lake in China were analyzed. The condition of various forms of phosphorus and nitrogen varied with sediment depth among different sites, and characters of vertical distribution are discussed. Large amounts of phosphorus and nitrogen were accumulated in sediments of the shallow and estuary. The contents of phosphorus in the sediments were relatively stable over a period of time, and the variation trend of reductant soluble phosphorus showed high vertical and spatial variations, which were related to the redox state of sediments. Vertical distribution of nitrogen and fractions presented complex change tendency and there were no obvious similarities of the variation trend among all sites. Average concentrations of phosphorus decreased with the distance of the estuary in the whole profile. Results reflected that the phosphorus and nitrogen load was aggravated with time of estuary of Panlong River in recent years. Mineralization and sedimentary rates of organic matter in all sediment sites were multiple in different periods and the complicated variability of sedimentary environment exerted influence on the formation process in different sites.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".