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Record W2036773456 · doi:10.1586/14787210.2015.1003809

Pregnancy related listeriosis: treatment and control

2015· review· en· W2036773456 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueExpert Review of Anti-infective Therapy · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicListeria monocytogenes in Food Safety
Canadian institutionsnot available
FundersPublic Health Agency of Canada
KeywordsPregnancyMedicineListeria monocytogenesObstetricsSerologyFetusListeriaPlacentaPediatricsImmunologyAntibodyBiology

Abstract

fetched live from OpenAlex

Listeriosis during pregnancy usually presents as an unremarkable febrile illness in the mother but can be fatal for the fetus and newborn. Reliable laboratory testing for early diagnosis is lacking. Serological antibody tests and bacteriological stool tests are not helpful since Listeria-specific antibodies and stool cultures yielding the organism can be found in healthy pregnant women. Because early diagnosis is difficult, diagnosis is usually made by culturing the pathogen from blood, cerebrospinal fluid, placenta or meconium. The mortality rate for fetal and newborn listeriosis remains approximately 20%. Two to three cases of pregnancy-associated listeriosis are reported annually in Austria among approximately 79,000 births, 20-30 cases are reported annually in Germany among approximately 680,000 births and 50-100 cases are reported annually in the USA among approximately 4 million births. Although Listeria infections in pregnancy are rare, they should be considered as a cause of fever of unknown origin during pregnancy.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.412
Teacher spread0.319 · 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