Seasonal phosphorus cycling in a riparian wetland, Grand Valley, Ontario
Bibliographic record
Abstract
Loss of riparian wetlands is linked to surface water phosphorus (P) pollution. Wetland riparian buffer zones (RBZ) can help to reduce P runoff. The seasonality of P cycling in wetland soils is poorly understood, especially P mobilization in early spring when freeze-thaw cycling (FTC) occurs. Here labile soil P and soil biology are investigated over the spring and in response to FTC. Soil was sampled from a wetland RBZ along the Grand River, Ontario. Soil temperature and conductivity, labile P, microbiome, and microbial biomass-P were quantified over the spring. In the lab, FTC experiments characterized the response of microbial respiration, microbial biomass P, and labile P. Results indicate labile P increased over the spring. In lab, soil labile P increased after 6 FTC compared to control treatments and fewer FTC. Results indicate relatively low risk for FTC to cause increased soil P mobilization in wetland RBZ.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".