Chemical composition of bitter cola (Garcinia kola) seed and hull
Why this work is in the frame
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Bibliographic record
Abstract
The chemical composition of Garcinia kola seed and hull was determined using standard methods. Results show that crude protein, lipid extract, ash, and crude fibre ratios are: 39.52 and 99.92 g/kg, 43.25 and 42.91 g/kg, 11.42 and 18.62 g/kg, 114.02 and 153.44 g/kg respectively. Carbon : nitrogen ratios for the seed and hull are 57.88 and 29.01, respectively. Garcinia kola hull had significantly higher (p<0.05) protein and fibre but has comparable values for lipid and ash. Potassium and phosphorus were the most abundant mineral elements in Garcinia kola seed (334.82 and 242.61 mg/kg, respectively) while phosphorus predominates in the hull (288.61 mg/kg). The seed had significantly higher values for sodium, potassium, copper and cobalt while chromium, molybdenum, manganese, nickel, selenium, lead and mercury were not detected. The dominant saturated, monosaturated, and polyunsaturated fatty acid, in the seed and hull are palmitic (31.55 and 276.01 mg/kg), oleic (38.36 and 52.77 mg/kg) and linoleic acids (36.16 and 235.83 mg/kg) respectively. The hull has significantly higher (p<0.05) a-linolenic acid content. Glutamic acid is the dominant non-essential amino acid in seed and hull (6.80 and 8.10 g/kg, respectively) while lysine and valine (2.40 and 7.10 g/kg, respectively) are the dominant essential amino acids. The proportion of essential amino acid in the total amino acid is 44.52% in the hull and 35.81% in the seed. Garcinia kola seeds and hulls may find use in food and feed formulations by virtue of their chemical composition.
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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 | 0.000 | 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 | 0.000 | 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 it