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Record W2904332378 · doi:10.1016/j.dib.2018.12.024

Dataset on the microstructure morphology and elemental composition of the palm kernel shell and the coconut kernel shell by TEM/SEM and EDXA/EDS

2018· article· en· W2904332378 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueData in Brief · 2018
Typearticle
Languageen
FieldChemistry
TopicCoconut Research and Applications
Canadian institutionsAcadia UniversityNova Scotia Community College
FundersAcadia University
KeywordsPalm kernelShell (structure)Morphology (biology)Kernel (algebra)MicrostructurePalmMaterials scienceComposition (language)Palm kernel oilComposite materialMathematicsChemistryBiologyPhysicsPalm oilArtFood scienceCombinatoricsZoology

Abstract

fetched live from OpenAlex

Coconut kernel shell (CKS) and palm kernel shell (PKS) powders were analyzed using Surface Electron Microcopy (SEM) and Transmission Electron Microscopy (TEM). The SEM and TEM were combined with Energy Dispersive X-ray Spectroscopy Analysis for elemental composition of the sample materials. The micrographs of all samples were thoroughly examined and explained. The dataset presented herein helps to elucidate the ultrastructure and could suggest expanding traditional applications of the PKS/CKS to novel ones. The data are related to the research article "Insight on the Ultrastructure, Physicochemical and Thermal Characteristics and Applications of the Palm Kernel Shells" (Ntenga et al., 2018).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.653

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.280
Teacher spread0.264 · 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