Spring ammonium maximum in the mid-depth layer of Lake Biwa, Japan
Bibliographic record
Abstract
The spatio-temporal variation in ammonium-nitrogen (NH4-N) profiles was investigated in the North Basin of Lake Biwa in 2002, 2004, and 2005 and in the Uso River in 2004 – 2005. The in-lake concentration of NH4-N was low throughout the water column, except between late April and mid-June, when a distinct maximum developed between 10 and 25 m depth, in and below the thermocline. This layer extended offshore from both east and west boundaries to the center of the lake. By comparing water temperature estimates from the Uso River with water temperatures measured in the lake, we hypothesize that cooler water intrudes into the lake during the night at depths between 8 and 28 m. The intrusions are likely more pronounced from mid to late May when the NH4-N concentration in the Uso River is highest. This suggests that riverine input is an important factor in the formation of the mid-depth ammonium maximum in Lake Biwa. These findings underscore the importance of fluvial discharge and lateral transport of dissolved nutrients in temperate lakes.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".