Effectiveness of soil amendments and revegetation treatments at Huckleberry Mine, Houston, British Columbia
Bibliographic record
Abstract
Supplies of topsoil are often limited for use in mine reclamation activities; it may be necessary to build soils using locally available substrates. Revegetation test plots were established at Huckleberry Mine, Houston, B.C., to investigate the performance of seven native plant species treatments on stockpiled topsoils amended with (or without) non-acid generating (NAG) sand (obtained from desulphurized copper tailings) and NPK fertilizer. Seeding treatments (single or mixed species) consisted of species native to the mine site (local genotype) obtained from commercial seed (mixed genotype). Soil sampling and vegetation monitoring were conducted during two growing seasons. NAG sand reduced some soil properties conducive to plant growth (e.g. cation exchange capacity), yet plant performance was not significantly lower than in soil-only plots. When combined with a fertilizer, plant performance significantly increased over non-amended topsoils. Trace element concentrations in supplemented soils were low and should not adversely affect plants or the local environment. Plant performance of blue wildrye (mixed genotype variety) was shown to be higher than all other species examined and is suggested as the best candidate for the revegetation at Huckleberry Mine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".