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Record W2770010059 · doi:10.1097/psn.0000000000000207

Manuka Honey: A Case Study of Severe Atopic Eczematous Dermatitis Reaction to Henna Tattoo

2017· article· en· W2770010059 on OpenAlexaff
Jeanine Harrison

Bibliographic record

VenuePlastic Surgical Nursing · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsThornhill Medical (Canada)
Fundersnot available
KeywordsManuka HoneyAtopic dermatitisMedicineDermatologySkin reactionIntensive care medicineChemistryFood science

Abstract

fetched live from OpenAlex

Many mainstream medications were derived from plants and originally utilized in patient management well prior to the extensive research and testing processes of current pharmaceutical standards. The evolution of therapeutic management within the pharmaceutical and skin care industry often uses synthetic processing of products with less of a focus on the natural ingredients from which they were originally derived. However, more recently there has been a shift in pharmacological management to include the therapeutic use of more holistic medicines and practices and thus a broadening of the uses of nontraditional medical treatment options. This has been seen in the use of treatments, such as Manuka honey, for skin conditions and dermal injuries. It is often with off-label uses, or conditions resistant to other treatments, that then prompt the use of holistic products and the true value of the product is validated. As with the following case study, the example of the use of Manuka honey on a severe atopic contact dermatitis eczematous reaction provides further documentation and supportive evidence of the potential efficacy of the properties of this particular natural product.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.356

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 science0.0000.000
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 head0.027
GPT teacher head0.267
Teacher spread0.240 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2017
Admission routes1
Has abstractyes

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