Potential of Selected Canadian Plant Species for Phytoextraction of Trace Elements From Selenium-Rich Soil Contaminated by Industrial Activity
Bibliographic record
Abstract
In this preliminary screening study, we tested the phytoextraction potential of nine Canadian native/well-adapted plant species on a soil highly polluted by trace elements (TE) from a copper refinery. Plant physiological parameters and soil cover index were monitored for a 12-week period. At the end of the trial, biomass yield, bioconcentration (BFC) and translocation (TF) factors for the main TE as well as phytoextraction potential were determined. Most plants were severely injured by the high pollution levels, showing symptoms of toxicity including chlorosis, mortality and very low biomass yield. However, Indian mustard showed the highest selenium extraction potential (65 mg m(-2)), even under harsh growing conditions. Based on our results, tall fescue and ryegrass, which mainly stored As, Cu, Pb and Zn within roots, could be used effectively for phytostabilization.
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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 | 0.000 | 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".