Study on the Character of Water Absorption and the Germination of Dipsacus asperoides Seeds
Bibliographic record
Abstract
Objective:To provide theoretic warrant and technical reference for Dipsacus asperoides standardization planting,by carring out various systemic studies such as character of water absorption and groping germinating conditions.Method:Heft method was used for measuring changes of water absorption capacity.And seeds germination were probed into by r the general germination method.Result:Dipsacus asperoides seeds water absorption reached 87.2% of the maximum after into the water 6hours,moreover,the imbibition of seeds reached saturated within 20h and water-taking amount was 0.973 times of seed weight.The suitable temperature for Dipsacus asperoides seed germination was 20℃ to 25℃,the optimum temperature was 20℃.And the best germinating-beds was top of paper.The first seeding-counting time was the 5th day after beginning the test,and the final time was the 15th day.The germination energy's statistical time was the 8th day.Conclusion:The results denoted that Dipsacus asperoides seed had the biological character of rapid water absorption.Temperature and germinating-beds had significant effect on germination rate,germination energy,germination index of Dipsacus asperoides seed.Light was beneficial to seed germination.
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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".