Proximate and Mineral Composition of Nigerian Leafy Vegetables
Bibliographic record
Abstract
Proximate analysis and mineral composition of some Nigerian leafy vegetables: bitter leaf (Veronia amygdalina L), India spinach (Basella alba L), bush buck (Gongronema latifolium), scent leaf (Ocimium grastissimum), Smooth amaranth (Amaranthus hybridus), Roselle plant (Hibiscus sabdariffa) and fluted pumpkin (Telfaria occidentali) were carried out using standard analytical procedures. The moisture content of the samples ranged between 10.0-12.08 %, crude protein, crude fibre, crude fat, ash contents and carbohydrate ranged between: 46.56 and 66.60, 4.02 and 12.08, 3.51 and 14.02, 5.02 and 15.55, 1.16 and 15.79 % dry matter (DM). Mineral element analysis showed that the leafy vegetables contained high levels of calcium (63.36-110.16), magnesium (27.51-288.65), sodium (15.01-88.00) and potassium (16.85-168.96) and low levels of copper (nd-3.14), nickel (2.32-18.16) and manganese (2.54-10.06) mg/100g respectively. The study showed that the leafy vegetables examined contained high levels of crude protein with low fat content and crude fibres.
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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 | 0.001 |
| 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) | 0.001 | 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".