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Record W1556098960 · doi:10.1159/000381135

Stem Cells for the Prevention of Neonatal Lung Disease

2015· review· en· W1556098960 on OpenAlexafffund
Megan O’Reilly, Bernard Thébaud

Bibliographic record

VenueNeonatology · 2015
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsOttawa HospitalChildren's Hospital of Eastern OntarioStem Cell NetworkWomen and Children’s Health Research InstituteUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsBronchopulmonary dysplasiaMedicineStem cellIntensive care medicineDiseaseLung diseasePediatricsLungPremature birthPregnancyPathologyInternal medicineGestationGestational age

Abstract

fetched live from OpenAlex

Preterm birth affects approximately 11% of all newborns worldwide and is a major risk factor for infant mortality and morbidity. A common complication of preterm birth is the chronic lung disease of prematurity called bronchopulmonary dysplasia (BPD). Due to the lack of a specific treatment for BPD, preterm infants surviving with BPD face a lifelong risk of poor lung health. The therapeutic potential of stem cells in regenerative medicine is being harnessed for many diseases, including BPD. Compelling preclinical data using stem cells to prevent/repair lung damage in animal models of experimental BPD has built the basis for its translation into the clinic in preterm infants. This review highlights the exciting translation from bench to bedside that will hopefully lead in the near future to improved pulmonary outcomes in preterm infants.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.153
GPT teacher head0.471
Teacher spread0.318 · 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 designNot applicable
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

Citations17
Published2015
Admission routes2
Has abstractyes

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