Effect of temperature and water on seed germination of <i>Salix sungkianica</i>
Bibliographic record
Abstract
The material used in this study were seeds of Salix sungkianica , by conducting indoor experiment, biological characteristics of germination and demands on environmental conditions of the S. sungkianica seeds were studied. The results indicate that the S. sungkianica seeds were microbiotic and low temperature could extend its longevity, germination rate is 0 when seeds were stored at normal temperature for 45 days, and gradually rose with the lowering of storage temperature, and remained above 55% if stored at -80 oC for a year; the seed began to germinate if temperature remains between 15 oC-35 oC, yet both high and low temperature could slow the germination process, while 25 oC -30 oC was the most suitable temperature range; seed germination has a strict demand for water content, the process could only begin when water was abundant, and did not happen when soil water content was 25%. Germination rate reached its peak value of 80.00±2.32% when water content was 200%, yet a higher soil water content level would jeopardize seedling growth.
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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 | 0.000 |
| 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".