Trace element chemistry of surficial fine-grained laminae in the South Saskatchewan River, Canada
Bibliographic record
Abstract
The role of surficial fine-grained laminae (SFGL) in the accumulation of heavy metals (Cu, Zn, Ni, Cd, Sn, Cs, Pb and U) in bottom sediments in a large prairie stream was investigated upstream and downstream of a large urban centre in the summer of 1999. Concentrations of dissolved trace metals in the South Saskatchewan River upstream and downstream of the city of Saskatoon did not show an effect of urban sources. The exception was U, which had consistently higher concentrations at the downstream site. Trace metal concentrations in SFGL downstream of the city of Saskatoon were significantly greater than those upstream on days experiencing low flow velocities. Further analysis of the data to determine the extent to which the higher trace metal concentrations can be explained by the higher percentage of silt and clay, and whether urban runoff from the city of Saskatoon affects trace metal concentrations in the South Saskatchewan River is in progress.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".