Bibliographic record
Abstract
Long-stored seeds are easy to age and to lower viability.To study the restoration of seed viability,we used a treatment of high temperature-aging to simulate natural aging for maize Jiyu No.8.We put seeds enveloped with aluminum foil bag into a thermotank at 50℃,the seeds of different aging extent was treated with CaCl2,AsA and GA3 solution,the viability,vigor and the conditions of seedlings growth was tested.The result indicated that the seed germination capacity,viability and growth rate of seedling declining with extend of seed aging,the restoration capacity of different degree of aging is a difference under the treatment of remediator.GA3 and AsA only work when seed viability was intermediate or low(5d,6d,7d aging),while CaCl2 has restoration effect on seeds of any gradient of aging and that are better than that in GA3 and AsA.Comparing the effect of different density of CaCl2,0.025mg/L CaCl2 bring about a striking effect.
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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".