Fiber Content and Mineral Composition of the Finger Millet of the Oasis of Gabes Tunisia
Bibliographic record
Abstract
Despite the decline in the areas reserved for the cultivation of the finger millet (Eleusine coracana L.) in the coastal oasis, this specie had occupied an important place in the diet of the inhabitants of the south of Tunisia and especially the region of Gabes. To contribute to a better knowledge of this plant in the oasis of Gabes, mineral and fiber characterizations were performed for 30 samples collected from four oases of Gabes. For each sample 11 nutrients: (Na, K, P, Ca, Mg and N), the crude protein, the neutral detergent fiber, the acid detergent fiber, the crude fiber and ash contents, were studied. Results of minerals analysis showed that calcium and magnesium were the most concentrated nutrients in all studied accessions (189.93-1272.36 mg/100g and 84.71-567.45 mg/100g respectively), followed by potassium (11.24-284.7 mg/100g), sodium (13.73-42.47 mg/100g) and phosphorus (2.208-11.033 mg/100g). Acid detergent fiber, neutral detergent fiber, crude fiber and ash average contents of the accessions were respectively higher than 30.58, 12.65, 4.01 and 3.2% of dry matter of the finger millet.
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 | 0.002 | 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".