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Record W1977948432 · doi:10.12703/p6-67

Management of neonatal sepsis in term newborns

2014· review· en· W1977948432 on OpenAlexaff
Geneviève Du Pont‐Thibodeau, Jean‐Sébastien Joyal, Jacques Lacroix

Bibliographic record

VenueF1000Prime Reports · 2014
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsSepsisMedicineNeonatal sepsisIntensive care medicineResuscitationInotropeEpidemiologyDiseaseSystemic inflammatory response syndromeBroad spectrumSystemic inflammationInflammationImmunologyInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Neonatal sepsis is a common and deadly disease. It is broadly defined as a systemic inflammatory response, occurring in the first four weeks of life, as a result of a suspected or proven infection. Yet, more reliable and consistently applied diagnostic criteria would help improve our knowledge of the disease epidemiology. Several therapeutic attempts to control systemic inflammation in sepsis were unsuccessful. Immediate empirical administration of broad-spectrum anti-microbials, aggressive fluid resuscitation, and vaso-active or inotropic support (or both) are the mainstays of the therapeutic management of neonatal sepsis.

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 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 score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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 head0.079
GPT teacher head0.391
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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations41
Published2014
Admission routes1
Has abstractyes

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