Quantification Of Gross Nitrogen Transformation Rates Within A Conventional Potato Rotation Using Stable Isotopes
Bibliographic record
Abstract
This study used the isotope pool dilution method to estimate gross rates of mineralization, nitrification, NH4+ and NO3- consumption, and denitrification emissions over two growing seasons within a conventional barley-red clover-potato crop rotation on Prince Edward Island. Gross rates within the 2010 season were, in most cases, not significant across crop species or sampling date. In comparison, gross nitrification, NH4+ consumption, and NO3- consumption rates in 2011 were greatest within the potato crop following planting and hilling. However, rates were highly variable within both seasons. Error analysis indicated that variation in soil mineral nitrogen concentrations between duplicate cores was the greatest source of error. The use of the isotope pool dilution method to estimate gross nitrogen transformation rates using intact cores was not viable within this production system due to high and variable soil mineral nitrogen concentrations, particularly following fertilizer application.
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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".