An overview of <i>Populus</i> genetic resources in southwest China
Bibliographic record
Abstract
There are abundant genetic resources of Populus in southwest China, which play an important role in scientific research and practical application. These resources are unfamiliar to the rest of the world and their value has not been widely appreciated; hence the purpose of this paper is to present the resources to the world, and to encourage more attention to be paid to them. There are 28 species, 20 varieties, and about 10 natural hybrids of Populus in the region. Of the 28 species, 25 are endemic to China, and 18 of them are indigenous to southwest China. So the region is regarded as one of the natural distribution and variation centres for Populus in China. The species fall into three floristic types: China–Japan, China–Himalayas, and ancient tropical; and show an obvious zonation in horizontal and vertical distribution with excellent adaptability to a wide range of environments. At present, only a few species are generally recognized, and to some extent grown and utilized, while most of them are still in natural conditions but face severe threat. It is therefore urgent to recognize, conserve and utilize these significant poplar resources.
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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 | 0.000 |
| 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 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".