Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Phosphorus (P) is an important nutrient for plant and animal growth. However, additions of P to the land as livestock manure and inorganic fertilizer may lead to an increased risk of soil P saturation and resulting movement of P to water bodies. Excessive amounts of P in surface water \ncontributes to eutrophication of rivers and lakes and to Cyanobacteria blooms. These result in decreased water quality and limitations on water use. The Risk of Water Contamination by Phosphorus (IROWC-P) Indicator was developed to assess the trends over time for the risk of surface water contamination by P from Canadian agricultural land at the watershed scale. \nOverall risk of water contamination by P is increasing in Canada. Increases in livestock production and the use of mineral fertilizers repeatedly created regional P surpluses between 1981 and 2006. The wide range of soil types across Canada have different characteristics for retaining nutrients such as P and therefore some soils are better able than others to sustain intensive agriculture. Surface runoff, deep drainage and soil erosion by water on agricultural land contribute significantly to the risk of P contamination of surface water in eastern Canada. In western Canada, surface runoff seems to be the major factor contributing to P transport. Local implementation of nutrient management plans, regulations, conservation practices and beneficial management practices (BMPs) have considerably decreased the P surplus in some areas. However, cumulative P surpluses over time continue to enrich soil P levels. Increased efforts at controlling both P sources and transport are required to reduce the risk of P loss to water and prevent surface water eutrophication and algal blooms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it