Study on Characteristics of Seed Germination of Syrenia siliculosa Andrz. and Comparison with Brassica chinensis L.
Bibliographic record
Abstract
The thesis studied the seed of Syrenia siliculosa Andrz. grows in the northest desert and dunes in Xinjiang,and the comparison of the germination to rape seed under the stress of PEG-6000 and NaCl. The result indicated the natural germination rate of Syrenia siliculosa Andrz. was less than 31%. However,acupuncture of seed coat and gibberellin treatment were used for dormancy breaking,and the seed germination rate increased to 60% and 92% respectively. Illumination or darkness had no effect on the seed germination rate,and under low temperature the seed germination rate decreased. In contrast with Brassica chinensis L.,higher seed germination rate under stress of either PEG-6000 or NaCl indicated that Syrenia siliculosa Andrz. was more tolerant to osmotic stess.
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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 | 0.001 | 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".