Allelopathic Effects of Water Extraction from Root and Leaf Litter of Rhus typhina on the Germination of Wheat Seeds
Bibliographic record
Abstract
The allelopathic effects of different concentration(10%,5%,2.5% and 1.7% respectively) of water extraction from root and leaf litter of Rhus typhina on the germination of wheat seeds were investigated.The results indicated that the germination of wheat seeds was significantly inhibited by the water extractions from both root and leaf litter of R.typhina.The decrease of germination percentage,germination index and vigor index,the delay of germination course(increase of coefficient of germination rate) and evident concentration effects were observed.The allelopathic effect of leaf litter on the germination of wheat seeds was higher than that of root.The highest allelopathy of water extraction from root and leaf litter of R.typhina on the germination index was observed and followed with that on vigor index.The allelopathic effect on the coefficient of germination rate was the lowest.
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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 | 0.000 |
| 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 | 0.001 |
| 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".