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Record W2063222589 · doi:10.14740/jcgo.v1i1.277

Sexually Transmitted Diseases in Pregnancy in Urgent Care Setting

2014· article· en· W2063222589 on OpenAlexvenueno aff
Sanjeev Sharma, Kunalpreet Gugnani, Laura Klug, Shailendra K. Saxena

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2014
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBacterial vaginosisTrichomoniasisSyphilisGonorrheaChlamydiaPregnancyHerpes simplex virusPublic healthObstetricsHealth careGynecologyHuman immunodeficiency virus (HIV)PediatricsImmunologyVirusNursing

Abstract

fetched live from OpenAlex

Sexually transmitted diseases (STDs) are a major public health concern in the US and around the world. Pregnant women comprise a particularly vulnerable group of patients. Some of the common STDs are human immunodeficiency virus (HIV), herpes simplex virus (HSV), chlamydia, gonorrhea, hepatitis B, trichomoniasis, syphilis, human papilloma virus (HPV), and bacterial vaginosis (BV). It is common to see patients with STDs in an urgent care setting and can be a challenge for medical personnel to recognize and treat these problems. Health care professionals in urgent care settings need to recognize the signs and symptoms of these infections to appropriately screen, diagnose, and treat these conditions in pregnant women in order to prevent both maternal and neonatal complications. J Clin Gynecol Obstet. 2014;3(4):123-128 doi: http://dx.doi.org/10.14740/jcgo277w

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)0.001
metaresearch head score (Gemma)0.006
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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.037
GPT teacher head0.362
Teacher spread0.325 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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