Evaluation of nutritional and antinutritional compounds in a collection of <i>Camelina sativa</i> varieties
Bibliographic record
Abstract
Camelina [Camelina sativa (L.) Crantz] is an emerging oilseed crop that is attracting interest because of its high environmental adaptability and oil and protein quantity and quality. Seventeen camelina varieties of different geographical origins, sown in the same locality on two sowing dates, were compared for oil, protein, and antinutritional compounds in the meal. ANOVA showed that sowing time significantly affected the content of main fatty acids, whereas 1000-seed weight, glucosinolates (GLSs), trypsin inhibitor (TI), monounsaturated and polyunsaturated fatty acids were related to the genotype. Among the varieties analyzed, Pearl and CCE26 proved to be the best source of healthy oil, with high n-3/n-6 ratio, whereas Luna and Przybrodzka, having a lower content of GLSs and TI, were suitable for animal feed. Principal Component Analysis (PCA) allowed to group the 17 varieties into three subgroups, and the largest variation was observed among the Canadian varieties.
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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 | 0.002 | 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".