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Record W2799893839 · doi:10.5539/gjhs.v10n6p94

Sweet Treats Sweet: A Review of Antidiabetic Properties of Honey

2018· review· en· W2799893839 on OpenAlexvenueno aff
Mohammed Al-Hariri

Bibliographic record

VenueGlobal Journal of Health Science · 2018
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDiabetes mellitusMedicineAntimicrobialIntensive care medicineDiabetic footDiseaseTraditional medicineSurgeryInternal medicineEndocrinologyBiology

Abstract

fetched live from OpenAlex

Diabetes mellitus is a chronic progressive disease that cannot be effectively controlled with single therapy and diabetic patients struggle to maintain the recommended blood glucose control. This increases the risk for many complications such as macro and micro vascular diseases, neuropathyRetinopathy, and diabetic foot. Honey has been used to prevent and treat many diseases. The mechanisms behind its biological and pharmacological role are still not clearly understood, however, some studies reported that Honey has antimicrobial, antioxidant, and immune stimulation actions. The aim of this article was to review the published articles about the antidiabetic properties of honey with their mechanisms. The findings showed that low glyceamic index honey can act as hypoglyceamic agent and delay or prevents the progression of the diabetic outcomes. However further studies to standardize the use of honey among patients with Diabetes mellitus are need.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.086
GPT teacher head0.339
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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