Effects of sugar-amendment on bacterial & fungal abundance in native vs. nonnative-dominated soils of a Puget lowland prairie
Bibliographic record
Abstract
Scotch broom is a nonnative plant that has invaded the plant communities of the Pacific Northwest in the United States. It associates with bacteria in the soil to fix nitrogen from the atmosphere, thereby elevating soil nitrogen levels and encouraging the invasion of the community by other nonnative plants like itself. Researchers have used sugar-amendment to decrease soil nitrogen and restore native plant growth. Our study took place in Glacial Heritage Preserve, a Puget lowland prairie that has been invaded by broom in several areas. We aimed to investigate whether sugar-amendment increased or decreased bacterial and fungal abundance in native versus broom-dominated soils of the prairie. We plan on using quantitative PCR (qPCR) to measure abundance and have currently optimized fungal primers for this purpose. During this study, we also collected data on soil nitrate to later compare with abundance data. Optimization of bacterial primers and further abundance data collection is forthcoming. Through this work, we hope to elucidate more about plant-microbial interactions and understand the effectiveness of sugar-amendment as a means of native plant restoration.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".