Quantification of Dissolved Nitrous Oxide Loss as Influenced by Tillage
Bibliographic record
Abstract
A movement towards more sustainable agriculture in Canada has resulted in the adoption of beneficial management practices, such as zero-tillage. The drive to implement zero- tillage is based on a desire to improve and protect soil and water quality, while contributing to the reduction of carbon dioxide concentrations in the atmosphere. However, net greenhouse gas impacts of converting to zero-tillage in eastern Canada are unclear, as there is a potential for increased nitrous oxide (N2O) emissions offsetting possible soil carbon storage. Discussion on the fate of nitrogen in soil assumes that N2O is lost to the atmosphere from the soil surface as a gas. However, the degassing of N2O dissolved in soil solution from agricultural drainage water is believed to contribute to N2O accumulation in the atmosphere. Here we examine the impact of tillage practices on soil hydrology, and its influence on the dissolution and transport of N2O in tile drainage water. Through measurements of N2O in tile drainage water it has been revealed that tillage practice does not have a significant impact on the amount of dissolved N2O released through tile drainage water.
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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 | 0.000 |
| 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".