Bibliographic record
Abstract
Four samples of Siberian wildrye(Elymus sibiricus Linn.) seeds with different germination level were used in the experiment and conducted to analyze the effect of the ageing temperature(39,41,43 and 45 ℃) and ageing time(1,2,3,4,5,6 and 7 d) on the germination percentage,and to find out the suitable condition and procedure for the accelerated ageing test of Siberian wildrye seeds.The result indicated that the seed germination of Lot 1,Lot 2 and Lot 3 decreased,and the germination decrease had significant difference(p 0.05) at 39 ℃,41 ℃,43 ℃ and 45 ℃,but only at 45 ℃ the aging germination percentage of Lot 3 fell lowest.The aging germination percentage of Lot 4 seed sample was low,and there was significant difference(p 0.05) between 45 ℃ and the other treatments.The seed germination of Lot 1 and Lot 2 gradually decreased with the treatments of the ageing time from 1 d to 7 d,and the germination after ageing 1 d and 2 d were significant different(p 0.05) with others.Germination of Lot 3 and Lot 4 had peak value after ageing 4 d,and was significantly(p 0.05) different from ageing 2,3,5,6 and 7 d.The interaction between the ageing temperature and ageing time was connected with the standard germination percentage and dormancy of seed,and significantly(p 0.01) related with the germination rate after ageing of Siberian wildrye seeds.The result indicated that ageing temperature 45 ℃ was optimum temperature and ageing time 2 d was optimum time for accelerated ageing test of Siberian wildrye seeds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".