Analysis on the Seed Characters Between Difference Geographical of Pinus Massoniana and Seedling Stage Growth
Bibliographic record
Abstract
In the laboratory artificial climate box,eight different of geographical provenance of pinus massoniana seed germination characteristics test were carried.In order to select the best pinus massoniana provenances from the genetic characteristics.The result showed that different pinus massoniana provenances germination rate,sprout potential,germination index,vigor index,radicle,embryo axis length,cotyledon hycopotys fresh weight,dry weight were extremely significant difference(p0.01),Fujian Zhangping germination rate 88%,Hunan ruchen 86%,Gupeng Guangxi 81%.Sprout potential and other index showed that pinus massoniana seed quality of the three areas was the best,it could provide certain theoretical basis for the next pinus massoniana seedling selecting.
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How this classification was reachedexpand
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 | 0.001 |
| 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 teacher head, 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".