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Record W4231858593 · doi:10.1111/pde.12778

Tropical Skin Diseases in Children: A Review—Part II

2016· review· en· W4231858593 on OpenAlexaff
María Teresa García‐Romero, Irene Lara‐Corrales, Carrie Kovarik, Elena Pope, Roberto Arenas

Bibliographic record

VenuePediatric Dermatology · 2016
Typereview
Languageen
FieldMedicine
TopicDermatological diseases and infestations
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePresentation (obstetrics)Tropical diseaseNeglected tropical diseasesIntensive care medicineEnvironmental healthPediatricsPathologyDiseaseSurgery

Abstract

fetched live from OpenAlex

Tropical skin diseases are infectious conditions influenced by factors such as nutrition, housing, and the environment. Migration patterns have caused these conditions to be seen all around the world, not only in developing countries. Many of these diseases have a different presentation in childhood, which changes the diagnostic approach and management options. In this article, we review some of the most common tropical mycobacterial, protozoan, parasitic, and viral dermatologic conditions in children, including their epidemiologic, clinical, diagnostic, and therapeutic aspects.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.020
GPT teacher head0.332
Teacher spread0.312 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations10
Published2016
Admission routes1
Has abstractyes

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