Fatty Acid Profile of Sunflower Achene Oil From the Brazilian Semi-arid Region
Bibliographic record
Abstract
The analysis of the fatty acid profile of an oil is important for optimizing its use in the processing and food industries. The present work evaluated the fatty acid profile from sunflower achene oil grown in the Brazilian semi-arid region and adjacent regions. The oleic, linoleic, palmitic and stearic acid contents were determined by gas chromatography (GC). An approximate 5 °C increase (from 19 °C to 24 °C) in the minimum temperature during lipid fraction (oil) formation in achenes yielded a 22.6% increase and a 21.9% decrease in the average oleic acid and linoleic acid contents (41.0% to 63.5% and 50.9% to 29.0%, respectively). The saturated fatty acids content tended to decrease as the minimum temperature increased, although the behavior depended on the environment and the tested genotypes. In general, genotypes Aguara 04 and CF 101 presented higher oleic acid and lower linoleic, palmitic and stearic acid contents than did the HELIO 250 and HELIO 251 genotypes.
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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".