Study on Seed Germination Character of Tibet Medical Plant Aconitum pendulum Busch
Bibliographic record
Abstract
In order to explore the suitable environment conditions for the seed germination and provide the technical basis for its domesticated and standardized cultivation,the seed characteristics、seed germination rate、germination power and germination index were investigated under different temperatures(10℃,15℃,20℃,25℃,30℃ and 23/28℃) with or without light.The result showed that the biggest expanding rate was 125.0% in 20h with 1.66g of 1000-grains weight.The dark condition at 15℃could benefit seed germination,which reached 30.3%.Under this condition,the germination index reached 1.54.However,the light after germination were beneficial to form the strong seedling.All above results indicated that when the soil temperature is constant at 15℃,the medical plant seeds should be planted.Aftre that,the soil should be covered with shade until germination so as to improve its roots and construct strong seedlings.
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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".