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Record W2076443211 · doi:10.2147/rrn.s58137

Making a choice: initial fraction of inspired oxygen for resuscitation at birth of a premature infant less than 32 weeks gestational age

2014· article· en· W2076443211 on OpenAlexaff
Gregory P. Moore, Behdad Navabi

Bibliographic record

VenueResearch and Reports in Neonatology · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsOttawa HospitalChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsResuscitationNeonatologyGestational ageMedicineNeonatal resuscitationPediatricsObstetrics and gynaecologyFraction of inspired oxygenObstetricsIntensive care medicinePregnancyEmergency medicineAnesthesia

Abstract

fetched live from OpenAlex

Research and Reports in Neonatology, 1 the best initial fraction of inspired oxygen (FiO 2 ) to use during resuscitation of preterm neonates ,32 weeks gestational age (GA) has not been clearly elucidated. Most recent neonatal resuscitation guidelines leave the difficult choice of the actual FiO 2 in the hands of individual physicians. We believe that this letter, through review and discussion of the recent published literature, will aid physicians in this choice and confirm that, as per the opinion of Abdel-Hady and Nasef, the best present evidence-based choice for the initial FiO 2 for resuscitating preterm infants ,32 weeks GA appears to be 30%. However, determination of the ideal initial resuscitation gas requires further research assessing both short-term and long-term outcomes.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.063
GPT teacher head0.403
Teacher spread0.341 · 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
Published2014
Admission routes1
Has abstractyes

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