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Record W4256083475 · doi:10.1002/9781118538555.ch7

Pediatric Vulvovaginitis

2013· other· en· W4256083475 on OpenAlexaff
Sari Kives

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineCandida albicansReferralDiseaseCulpritDermatologyPediatricsVaginitisGynecologyPsychiatryInternal medicineFamily medicineBiologyMicrobiology

Abstract

fetched live from OpenAlex

Vulvovaginitis is one of the most common gynecologic complaints in prepubertal girls. It is usually quite easy to treat with the elimination of risk factors and simple hygiene measures. Knowledge of the risk factors combined with a thorough pediatric gynecologic exam will help to distinguish between nonspecific vulvovaginitis, specific pathogens, and other less common dermatologic diseases. The most common specific pathogens tend to be Streptococcus pyogenes and Haemophilus influenzae. Rarely Candida albicans is the culprit. The prognosis for most causes of vulvovaginitis is excellent. In rare situations a sexually-transmitted disease may be the offender and a careful evaluation for possible sexual abuse should be entertained. If the condition fails to respond to traditional treatment, referral to a specialist may be warranted.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.003

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 head0.013
GPT teacher head0.281
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2013
Admission routes1
Has abstractyes

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