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Record W2060071230 · doi:10.5863/1551-6776-10.2.72

Postnatal Steroids to Treat Chronic Lung Disease in Preterm Infants: Is it Ever Justified?

2005· article· en· W2060071230 on OpenAlexaboutno aff
Péter Gál, Mary Ann V.T. Dimaguila

Bibliographic record

VenueThe Journal of Pediatric Pharmacology and Therapeutics · 2005
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsBronchopulmonary dysplasiaMedicineDexamethasoneLung diseasePediatricsDiseaseIntensive care medicineLungInternal medicinePregnancyGestational age

Abstract

fetched live from OpenAlex

AbbrEvIATIonS: BPD, bronchopulmonary dysplasia gastrointestinal bleeding, and increased infection risks seemed well worth the risk. Unfortunately, several subsequent studies showed that dexamethasone caused a decrease in brain growth7 and impairment in neurological development.8-10 In an attempt to resolve this controversy, the American Academy of Pediatrics and Canadian Pediatric Society developed a joint statement of the use of postnatal corticosteroids to treat or prevent chronic lung disease in preterm infants.11 With the exception of controlled trials, these groups advocated against the use of see related article page 90

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.482
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.415
Teacher spread0.369 · 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.

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

Citations1
Published2005
Admission routes1
Has abstractyes

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