Analysis of Chemical Components in the Seeds of an Endangered Plant Torreya jackii
Bibliographic record
Abstract
The contents of six chemical components, such as soluble carbohydrate, crude fat, total protein, total flavonoids, total chlorogenic acid and total tannin in the seeds of an endangered plant Torreya jackii with different producing area and different quality were determined and analyzed. The results showed as follows: the contents of six chemical compositions were different in the seeds of Torreya jackii with different producing area and different quality. In the seeds of Torreya jackii with different producing area, the contents of soluble carbohydrate and total flavonoids were highest in the Pujiang region, the contents of crude fat and total chlorogenic acid and total tannin were highest in the Tonglu region, the content of total protein was highest in the Fuyang region. In the seeds of Torreya jackii with different quality in the Tonglu region, the contents of soluble carbohydrate and total flavonoids and total tannin were higher and higher but the contents of crude fat and total protein were lower and lower while the quality of seed was larger and larger except total chlorogenic acid. There was significant negative correlation between the total content of soluble carbohydrate and the content of crude fat.
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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 | 0.001 | 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 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".