MétaCan
Menu
Back to cohort
Record W3147982599 · doi:10.5539/ijc.v13n1p30

Pomade Production from the Metallic Soaps of Telfairia occidentalis Seed Oil

2021· article· en· W3147982599 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Chemistry · 2021
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Science and PVC
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryKeroseneMetalZincRaw materialMethanolCopperFood sciencePulp and paper industryOrganic chemistry

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.256
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it