Influence of Different Mature Degrees on Seeds Germination and Quality of Fruit Oil of Idesia polycarpa Maxim. var. vestita Diels
Bibliographic record
Abstract
Using Idesia polycarpa Maxim. var. vestita Diels seeds and fruit as materials,germination capability of seeds,oil content,fatty acid composition were determined and analyzed on different mature degrees among Green fruits,yellow fruits,orange fruits,red fruits,crimson fruits and black brown fruits. The results indicate that the difference of germination rate on different mature degrees of Idesia polycarpa Maxim. var. vestita Diels is significant,ranging from( 7. 00% ± 2. 88%) to( 98. 25% ± 1. 50%),and the seeds of crimson fruits have the highest germination rate( 98. 25% ± 1. 50%),germination potential( 50. 50% ± 6. 03%) and vigor index( 10.64 ± 0. 71). Oil content difference on different mature degrees of Idesia polycarpa Maxim. var. vestita Diels ranges from( 31. 17% ± 0. 89%) to( 41. 59% ± 0. 29%) in all fruits,and crimson fruits have the highest oil content. Four different fatty acids are detected in all fruit oil,including palmitoleic acid,palmitic acid,linoleic acid and stearic acid. Linoleic acid contents are the highest among all and crimson fruits have the maximum linoleic acid contents( 74. 50% ± 1. 36%). Based on this,best harvest time is crimson fruits in production.
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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".