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Record W4312378248 · doi:10.55940/medphar20228

Asymptomatic Bacterial Infection in Pregnancy: A new update

2022· article· en· W4312378248 on OpenAlexaboutno aff
Maher I. Elsahar

Bibliographic record

VenueMedical and Pharmaceutical Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
Fundersnot available
KeywordsAsymptomatic bacteriuriaAsymptomaticMedicinePregnancyBacteriuriaIntensive care medicineUrinary systemObstetricsPediatricsInternal medicineBiology

Abstract

fetched live from OpenAlex

Urinary tract infection is more common in women than in men and is usually associated with a bacterial infection which causes bacteriuria as one of the symptoms/diagnoses of bacterial in-fection; however, asymptomatic bacterial infections sometimes do not need argent treatment, but in specific causes such as pregnancy may require medical intervention. This study analyzes 210 articles and relevant guidelines for Asymptomatic bacterial infection (bacteriuria) in pregnant women in the U.S., U.K., and Canada. Material and Methods: The pro-cedures are compared to the literature, including various studies on rates and cost-benefit analy-sis. In conclusion, several articles and guides prefer routinely testing pregnant in the first tri-mester.

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)0.002
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.006
Science and technology studies0.0000.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.345
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; 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

Citations8
Published2022
Admission routes1
Has abstractyes

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