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Record W2323441030 · doi:10.1542/neo.14-5-e252

Chronic Lung Disease in the Neonate: Past, Present, and Future

2013· article· en· W2323441030 on OpenAlexaff
Bernard Thébaud

Bibliographic record

VenueNeoReviews · 2013
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsBronchopulmonary dysplasiaMedicineIntensive care medicineLung diseaseDiseaseLungPediatricsPathologyInternal medicinePregnancyGestational age

Abstract

fetched live from OpenAlex

Bronchopulmonary dysplasia (BPD), the chronic lung disease (CLD) in the neonate described over 40 years ago, remains a major cause of morbidity and mortality. Because of advances in perinatal care, the disease now appears in infants that are far more immature than in 1967. Soon, infants born at the limit of viability (based on the developmental stage of the lung and its actual incapacity to exchange oxygen and carbon dioxide) will be routinely resuscitated. Neonatologists will then be confronted with new dilemmas (predicting viability) and new therapeutic opportunities. This review takes a quick look at past achievements that have led to the current status of BPD and projects on the potential of stem cell-based therapies to protect the ever more immature lung from injury.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.371
Teacher spread0.337 · 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 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

Citations4
Published2013
Admission routes1
Has abstractyes

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