Evaluation of Land-Atmosphere Nitrogen Cycling in CLASSIC at the Single-Site Level
Bibliographic record
Abstract
The objective of this study was to evaluate Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) simulations following the implementation of the nitrogen (N) cycle and compare these model outputs with observations of fluxes of reactive N (Nr) species in preparation for future coupling with the atmospheric component of the Canadian Earth System Model (CanESM). The model was forced using two deposition data sets, one observation-based (NADP) and the other model-based (TRENDY), at two FLUXNET towers, US-Ha1 and US- UMB. Elevated N deposition led to higher Nr emissions, and this was emphasized for N deposited as NO3-. Observations of NO and N2O fluxes at each site and other locations across the globe showed variability depending on forest type, which CLASSIC could not represent. Volatilization to ammonia is a significant contributor to gaseous N loss from the land and its description in CLASSIC is sensitive to soil pH.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".