Study on Morphological Characteristics and Seed Germination Characteristics of Acer guizhouense Y.K.Li
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Used Acer guizhouense Y.K.Li seeds gatherd from guizhou huangping as the test materia,measured morphological characteristics and seed germination index under different hormone treatment,different substrates and different storage conditions,in order to explore the maple seed germination characteristics located in Guizhou and look forward to be more viable storage method.The results showed that:(1) Acer guizhouense Y.K.Li seeds samara,seeds longitudinal diameter was 5.54mm,diameter was 3.14mm,grain weight was 18.4g to 25.9g,moisture content was 14.12%,water weight gain was 24.7%.(2) GA3 could improve Guizhou maple seed germination,the best soaking concentration of GA3 was 200mg / L.(3)Low concentrations of 6-BA solution could improve Acer guizhouense Y.K.Li seed germination rate and high concentrations of 6-BA solution disincentived seed germination,and the best soaking concentration was 5mg / L.(4) The germination rate of sand bed was higher than that of the filter paper.(5) The best storage methods to break dormancy and improve seed germination rate was wet sand storage,the germination rate was 41.33%,and germination rate increased 16.6% than before storaged.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it