Bibliographic record
Abstract
In order to understand the reason and mechanism of the natural regeneration of C. debaoensis,its biological characteristics of seed germination was studied. The optimal temperature for the seed germination of C. debaoensis were 25 ℃ and 30 ℃,the germination rate was 40% and 46. 67%. At 20 ℃ and 35 ℃,both the germination energy and the germination rate were low,at 20-35 ℃,the seeds of C. debaoensis could germinated in different degree. At 25 ℃ and 30 ℃,the germination rate were 86. 67% and 93. 33%. Peeled seeds had higher germination potential than seeds with not peel. The initial germination time was ahead of schedule in soil layerproduct storage. The germination rate was highest with a germination rate 73. 33% in low temperature treatments. The germination rate was 66. 67% in soil layer storage. The seed germination speed of C. debaoensis was quick and neat,the seed germination had a wide suitable range and it could germinated in natural condition. These showed that the above factors were not the main cause that C. debaoensis became endangered species.
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.
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".