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Record W2039455888 · doi:10.1159/000244094

Sequential Changes in Pulmonary Epithelial Permeability after Birth in Term and Preterm Rabbits

2009· article· en· W2039455888 on OpenAlexaff
Ann L Jefferies, Kin Fan Young Tai

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsClearance rateLungGestationFetusMedicineLagomorphaRespiratory systemAnesthesiaAndrologyPhysiologyInternal medicineBiologyPregnancy

Abstract

fetched live from OpenAlex

We assessed sequential changes in the permeability properties of the pulmonary epithelium in spontaneously breathing, newborn term (30 days of gestation) and preterm (28 days) rabbit pups, using the rate of pulmonary clearance of 99mTc-DTPA (MW = 492) as an index of permeability. In term rabbits, clearance was faster at 1 h of age than at hourly timepoints thereafter (p < 0.05). In preterm rabbits, clearance rates measured from 1 to 5 h after birth were not quite significantly different (p = 0.0519) although the trend to slower clearance with increasing time after birth was significant. When term and preterm rabbits were compared, clearance was similar at 1 h after birth but was faster at both 2 and 3 h in the preterm rabbits (p < 0.05). Pulmonary epithelial permeability appears to be increased in the immediate postnatal period and the duration of increased permeability is longer in preterm rabbits. Because lung water content at birth is greater in the preterm rabbits, we speculate that the permeability changes may be associated with clearance of fetal lung liquid.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.336
Teacher spread0.306 · 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 designBench or experimental
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

Citations2
Published2009
Admission routes1
Has abstractyes

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