Analysis on Correlation Between Oil Content and Size and Weight of Jatropha curcas L.Seed
Bibliographic record
Abstract
The oil produced by Jatropha curcas L seed.is currently viewed as an economical alternative biofuel with tremendous potentials.The seed oil amount depend on both seed weight and oil content.Thus the oil production could be promoted by the enhancement of the seed weight and oil content.This study showed that there was a significant phenotypic variation for the seed weight and oil content in J.Curcas.Correlation analysis showed the size of seed(length,width and height) was strong correlated to single seed weight(r=0.69,0.54,0.69),single seed weight was weakly and negatively correlated with the seed oil content(r=-0.07).The width and height of kernel was certain degree positively related with seed oil content(r=0.47,0.54).The width and height of kernel were significant positive with seed's.Thus,the oil production could be promoted to a certain degree by improving the seed width and height,which could promote single seed weight and oil content.
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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) | 0.000 | 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".