Study on the Effect of Different Treatments to Buchnera cruciatas Hamilt. Seed Germination Ability
Bibliographic record
Abstract
Wild Buchnera cruciatas Hamilt.resources are gradually reduced nowadays,the research reports of Buchnera cruciatas Hamilt.seed are very few.Study on the wild Buchnera cruciatas Hamilt.seed of Wangmo County in Guizhou province is carried out,the Buchnera cruciatas Hamilt.seed germination ability of different treatments is very different.The results show that the Buchnera cruciatas Hamilt.seed treated 6 h in low temperature soaking has the first white,higher germination rate and germination index,and the seed is suitable for growth in the pH 6.5 environment,Buchnera cruciatas Hamilt.seed can not germinate in excess acidic or alkali environment,at the same time,exerting a certain concentration of GA solution can make the seeds advance white germination,germination percentage and germination index will increase,but if the concentration is too high,it will make Buchnera cruciatas Hamilt.mildew.
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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) | 0.001 | 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) | 0.002 | 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".