Dataset for: Phosphorus mobilization from intact soil monoliths flooded under simulated summer versus spring snowmelt with intermittent freeze-thaw conditions
Bibliographic record
Abstract
Enhanced phosphorus (P) release from flooded, anaerobic soils have been extensively studied under summer temperatures, but not under cold temperatures with intermittent freeze-thaw events. We investigated the temperature and freeze/ thaw effects during flooding on the release of P to floodwater from soil monoliths (15-cm depth) collected from eight agricultural fields in Manitoba. Soil monoliths were flooded with reverse osmosis water and incubated for 56 d under simulated summer flooding (SSF, 22±1 ℃), or snowmelt flooding with intermittent freeze thaw (IFT, 4±1 ℃ with intermittent freezing) in triplicates. Redox potential (Eh), pore water and floodwater dissolved reactive P (DRP) concentrations, pH and concentrations of Ca, Mg, Fe and Mn were determined weekly. In seven soils, Eh decreased rapidly with days after flooding (DAF) under SSF to values < 200 mV, but not under IFT. Pore water and floodwater DRP concentrations significantly increased with DAF in all soils under SSF, and in seven soils under IFT. While DRP concentrations were consistently greater under SSF than IFT in four soils, other soils had similar concentrations at certain DAFs. Significant relationships between ion concentrations and redox status , that fitted both IFT and SSF data in most soils, suggests that similar redox-driven mechanisms are responsible for the P release; however, less P is released under IFT than SSF, since soils were not severely reduced under IFT. Substantial P release in a few soils under IFT, appeared to be unrelated to redox status, suggesting other P release mechanisms that are not redox driven.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.025 |
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".