Quantifying phosphorous loadings in the Thames River in Canada
Bibliographic record
Abstract
The Canada Ontario agreement requires reduction of total phosphorous (TP) loadings to prevent algae blooms in Lake Erie. This study was to consider TP loadings from the Thames River and potential methods needed to determine actual loadings. The study found TP loading in the Thames River was dominated by peak flow events and between 10 and 15% of the flow had over 60% of the loading. Identification of TP and Dissolved Reactive Phosphate (DRG) and/or Ortho phosphorous (Ortho P) have similar ratios with TP in the Thames River although are not the same in the main, north and south branches. Continuous ortho P monitoring equipment could be used to estimate TP loads based on ratios of Ortho P to TP established in the river shed. A description and cost estimate for a continuous monitoring system is included in the study. Reduction of TP loadings requires methods that can deal with the peak flows and one option could be wetlands along the river basin.
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.
How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".