Study on Morphological Characteristics and Seed Germination Characteristics of Acer guizhouense Y.K.Li
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.
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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".