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Record W2137738596

Noise exposure caused by artificial ventilation in the neonatal intensive care unit

2005· article· en· W2137738596 on OpenAlexaffvenue
A. Mayrand, Susan Scollie, Henry Roukema, Margaret F. Cheesman

Bibliographic record

VenueCanadian acoustics · 2005
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsVentilation (architecture)Neonatal intensive care unitMedicineNoise (video)Artificial ventilationIntensive care unitIntensive careMechanical ventilationAnesthesiaAudiologyIntensive care medicinePediatricsRespiratory diseaseComputer scienceInternal medicineLungEngineering
DOInot available

Abstract

fetched live from OpenAlex

Neonates, who are being artificially ventilated in the neonatal intensive care unit (NICU) are exposed to noise from the ventilation equipment. They are at 10-15 times greater risk of sensorineural hearing loss. In addition to hearing risks, noise exposure causes physiological effects in premature infants - increased heart rate, blood pressure and respiratory rate. A research was carried out to determine the effect of noise exposure caused by artificial ventilation in the NICU. The research aimed at determining the noise levels and the spectra of the noises produced by different modes by artificial ventilation in the NICU.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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
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 routes2
Has abstractyes

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