Influence of variety, wine style, vintage and viticultural area on selected chemical parameters of Canadian Icewine
Bibliographic record
Abstract
Dried loofah gourd (Luffa cylindrica L., M.J. Roem, syn. Luffa aegyptiaca Muell) seed were harvested and divided in two samples, viz., hull and dehulled. The samples were analyzed for proximate composition and mineral contents (Mg, Ca, Na, K, Fe, Cu, Zn and Mn). Tannin, oxalate, phytin phosphorus and phytic acid were the antinutritional factors evaluated. Some functional properties, such as oil absorption capacity (OAC), water absorption capacity (WAC), foaming capacity (FC), foaming stability (FS), emulsion stability (ES), least gelation concentration (LGC) and bulk density, were also investigated. The dry matter, crude protein and ether extract values were significantly higher (P 0.05). DLGSM was significantly lower in phytin phosphorus and oxalate but higher in tannin content (0.41%) than HLGSM with coefficient of variation (CV) of 20.79, 40.49 and 12.35% respectively. The phytic acid content in samples did not differ significantly (P>0.05). Contentrations of Mg, Ca, Na, Fe, Cu and Mn were significantly higher but Cu and Zn were lower in DLGSM. The highest coefficient of variation (59.65%) was recorded by Zn, followed by Mn (43.30%), Na (30.50%) and Ca (20.66%). There was no significant difference in the K values for DLGSM and HLGSM (P>0.05). The functional properties measured, such as OAC, EC, FS, ES and LGC, were not affected significantly. However, WAC and FC increased significantly (P<0.05) with CV of 30.01 and 33.22% while the bulk density was not affected (P<0.05). These values obtained for the DLGSM indicate the potential in its use as a source of vegetable protein in animal and human nutrition.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".