CANB v4.0: A Model for Simulating Residual Soil Nitrogen and Nitrogen Leaching in Canadian Regional Scale
Bibliographic record
Abstract
A Canadian Agricultural Nitrogen Budget model (CANB v4.0) was developed to calculate two Agrienvironmental Indicators; Residual Soil Nitrogen (RSN) and the Indicator of Risk of Water Contamination by Nitrogen (IROWC-N) at 1:1M Soil Landscape of Canada scale for all Canadian farmland. The RSN (kg N ha-1) is the amount of inorganic N which remains in the soil at the end of the growing season and it is calculated as the difference between the total inputs of N and removal of N by the crop and atmospheric losses. The IROWC-N provides an estimate of the concentration and amount of the RSN which can be lost due to surface and groundwater via leaching. Both the growing season and non-growing season N leaching losses were simulated by a daily N leaching model. The outputs are displayed using EasyGrapher software and mapped using Arc-GIS software. The Ecoregion maps and graphs of the RSN, N lost and IROWCN from the CANB v4.0 model were displayed and the results were interpreted. The results indicate that there is an increasing risk of water contamination over time in Canadian farmland. The model can also be used for policy scenario analysis or integrated into a GIS framework at watershed scales.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".