Pomade Production from the Metallic Soaps of Telfairia occidentalis Seed Oil
Bibliographic record
Abstract
Mature fruits of Telfairia occidentalis were purchased from a local market in Ikono Local Government Area of Akwa Ibom State, Nigeria. The seeds were separated from the fleshy mesocarp, washed with water and sundried. The cotyledons were separated from the seed coat and then oven-dried at 105 – 110 °C for 24 hours. The dry seeds were blended into powder and the oil cold-extracted with n-hexane. The oil extracted was used to prepare copper, nickel and zinc soaps. The soaps were characterised using standard methods and then applied as additives in the production of body pomades. Several tests were performed on the control and the metallic soap pomades to establish the effectiveness of the metallic soaps in pomade production. All the prepared metallic soaps were sparingly soluble in kerosene and methanol and exhibited no foaming characteristics. The properties of the pomades imply that the metallic soaps of T. occidentalis have good potential in the cosmetics industry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".