The Content and Composition Analysis of Fatty Acids of Mountain Peach Seeds
Bibliographic record
Abstract
With seeds of mountain peach as experimental materials,the compared materials were seeds of Peach and Apricot.Oil was extracted from the three kinds of plants by the Soxhlet method.Seed oil content and composition in the three plants were analyzed by GS-MS combination chromatography and were compared.The result showed that palmitic acid and oleic acid were contained in seeds of three plants.Palmitic acid content in mountain peach seed was 33.611%,which was higher than Apricot and peach;the lowest was the seed of which was Oleic acid content in peach,which was 59.232%,was higher than mountain peach and Apricot,which were 51.87% and 38.964%.Palmitic acid and oleic acid were raw materials with high quality for biodiesel.The results laid the foundation for the development and utilization of mountain peach as an energy plant.
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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".