Study on the Dynamic Changes of Endogenous Hormones in Ceratoides arborescens During Seed Development
Bibliographic record
Abstract
The three types of Ceratoides arborescens seeds(normal embryo development,light embryo abortion,high embryo abortion) were used to determine the dynamic changes of endogenous hormone contents during the period of seed development.The result showed that the contents of IAA and GA3 in normal Ceratoides arborescens seeds had a tendency of ascent with the seed development,and the contents of IAA and GA3 in seeds of light and high embryo abortion during early period of seed development(10 days after flowering) decreased significantly and then increased.The content of ZR in three types of Ceratoides arborescens seeds during the seed development was showed single peak,and the content of ZR in two types of aborted seeds was lower significantly than that in normal seeds.The content of ABA in three types of Ceratoides arborescens seeds was low during the early period of seed development,and then had a tendency of ascent with the development of seeds,but the difference between the three types was not significant.The difference of(IAA+GA3+ZR)/ABA ratio between the two types of aborted seeds and the normal one was significant during the early period of seed development(10 days after flowering).It is suggested that the changes and the balance of endogenous hormones were closely related to the embryo abortion of Ceratoides arborescens.
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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) | 0.000 | 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".