Relationship between soil phosphorus and runoff phosphorus losses from plot scale rainfall simulations on Manitoba soils
Bibliographic record
Abstract
Agricultural land is widely acknowledged as a primary non-point source of nutrients that affect the health of freshwater ecosystems throughout many parts of the world. Simulated rainfall-induced runoff trials were conducted at four P amended primary field sites under annual crop cultivation and three un-amended secondary field sites during the fall of 2009 and 2010. Highly significant (P <0.001) linear relationships were observed between measures of soil P and runoff TDP (r2 = 0.20–0.43). Olsen P was as accurate as other soil test methods for predicting runoff P losses. However, site, sampling year, runoff interval and crop residue management practices also affected these relationships. In particular, the predictability of these relationships on a site by site basis, as well as from one year to the next was extremely variable (r2 = 0.00-0.86), and declined significantly as the range of STP values decreased below approximately 80-100 mg P kg-1.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".