NUTRITIONAL ASSESSMENT OF UNDERUTILIZED NON-TRADITIONAL LEAFY VEGETABLE LAMBS QUARTER OF LOWER SINDH, PAKISTAN
Bibliographic record
Abstract
Nontraditional vegetables play a vital role in the diet of the people throughout the world. Among the non-traditional leafy vegetables of Sindh Pakistan, the edible portion (leaves) of lambs quarter was analyzed for their proximate, mineral and phytochemical composition. The results from nutritional analysis showed that lambs quarter had a low content of crude fat and high content of moisture, ash, crude protein, crude fiber, carbohydrates and energy. The vegetable was also rich in major minerals like K+, Ca2+ and Mg2+ and sufficient in essential trace elements (Fe2+, Cu2+ and Zn2+). The phytochemicals including alkaloids, saponins, flavonoids, total phenols and tannins were found in larger quantities in fresh samples. Taking into account the amount of available mineral elements, phytochemical contents and other nutrients in lambs quarter, this non-traditional vegetable could be valuable and important contributor to the diets of the people in Sindh, Pakistan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".