Assessment of Essential Nutrients, Bioactive Compounds, and Antioxidant Activity in the Leaves and Fruits of Chinese Olive ( <scp> <i>Canarium album</i> </scp> (Lour.) <scp>DC</scp> .) Cultivars
Bibliographic record
Abstract
(Lour.) DC.) cultivars were analyzed to identify cultivars with high medicinal value, as indicated by their profiles of essential nutrients, bioactive compounds, and antioxidant activity. Significant genotypic variations were observed among cultivars. Correlation analysis revealed leaf calcium and nitrogen negatively impacted flavonoid accumulation, while fruit calcium enhanced phenolics and alkaloids synthesis. In addition, flavonoids were found to be the dominant drivers of antioxidant activity. Notably, Principal component analysis (PCA) and hierarchical cluster analysis (HCA) revealed that the Suanghuxiang, Liehuo, and Zachi cultivars exhibited the highest total flavonoid content and antioxidant capacity in leaves, while Xiaodingxiang, Wangbo, Fengyu1, Ma2, and Langshang showed the highest levels of these properties in fruits. Conversely, the Fenghu, Xi1, Tianzhong, Lingfeng, and Qingying cultivars displayed the lowest overall medicinal properties, characterized by the lowest levels of total flavonoid content and antioxidant activity. This study identifies elite cultivars for medicinal use and provides a foundation for breeding programs and optimized fertilization.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".