Effect of Cold Stratification on Seed Germination of Four Species of Amaranth
Bibliographic record
Abstract
Germination responses of four species seed of Amaranth,Slender Amaranth,Emarginate Amaranth and Redroot Amaranth,Tumble Weed from Xuzhou were examined in 15℃,20℃,25℃,30℃,20℃/25℃respectively.The results showed that the preferential temperature of seed germination for Slender Amaranth and Tumble Weed was around 25℃,for Emarginate Amaranth and Redroot Amaranth were around 30℃;Alternating temperature had no significant effect on the seed germination of four species of Amaranth. Germination rate of Emarginate Amaranth was significantly increased under dark,but no significant changes on the other three species.After low-temperature storage for 4 years,the germination rate,germination energy and germination index of Slender Amaranth and Tumble Weed were reduced significantly,while those of Emarginate Amaranth and Redroot Amaranth were increased significantly.
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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".