Potential for using paper mill fly-ash as an alternate liming material and mobility and leachability of heavy metals in fly-ash and biochar amended agricultural soil in Western Newfoundland
Bibliographic record
Abstract
Most agricultural soils in Western Newfoundland are acidic and need lime to raise the soil pH to be productive. Corner Brook Pulp and Paper Ltd produces a substantial amount of fly-ash which is being disposed at a local landfill. This study was conducted to assess the potential for using fly-ash as a liming material for an agricultural soil (pH:5.5) in Western Newfoundland with the addition of biochar for heavy metal stabilization. Heavy metal concentration in the soil and fly-ash were analysed and compared with soil and compost guidelines. Lab scale leaching and pot experiments were conducted to assess the leaching and bioavailability of heavy metals in fly-ash amended soil with different biochar rates. As per quality guidelines, only part of the lime requirement can be substituted by fly-ash. Biochar increased the soil pH and biomass production. Total heavy metal leached from biochar treated soils were low and unlikely to cause groundwater contamination. In general biochar reduces the leachability and the bio availability of heavy metals. Application of biochar could provide a sustainable solution for the heavy metal stabilization of fly-ash treated soil.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: yes | Bench or experimental | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Bench or experimental | low |
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".