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Record W2113350953 · doi:10.1177/1203475415578051

Barriers to Treatment of Tinea Capitis in Children Living in the Jane Finch Community of Toronto

2015· article· en· W2113350953 on OpenAlexaboutno aff
Rebecca L. Zur, Jonathan Shapero, Harvey Shapero

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsTinea capitisMedicineDermatologyScalpAntifungalPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: Tinea capitis is a common fungal infection of the scalp. If left untreated, tinea capitis infection can cause severe inflammatory reactions and the development of kerion. Tinea capitis is effectively treated with oral antifungals, but at present these are not covered under government assistance programs. OBJECTIVE: To assess the potential impact of a limited use code for antifungal therapy in the treatment of childhood tinea capitis. METHOD: Fourteen family physicians practicing in the Jane Finch area were surveyed on their experience treating tinea capitis in this community. RESULTS: Seventy-one percent of surveyed family physicians felt that cost impedes the treatment of tinea capitis in their practice, and 100% felt that a limited use code would have a positive impact on their patients. CONCLUSION: A limited use code for oral antifungal treatments of tinea capitis may provide a simple, cost-effective solution to a major problem impacting children in the Jane Finch area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.644

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.033
GPT teacher head0.297
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations6
Published2015
Admission routes1
Has abstractyes

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