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Record W1997911229 · doi:10.2310/7070.2002.34358

Excessive Noise Levels in the Neonatal ICU: Potential Effects on Auditory System Development

2002· article· en· W1997911229 on OpenAlexaffvenueabout
William Kent, Andre K.W. Tan, Maxine Clarke, Trevor Bardell

Bibliographic record

VenueThe Journal of Otolaryngology · 2002
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsQueen's University
Fundersnot available
KeywordsIncubatorMedicineNoise (video)Sound level meterNoise exposureNeonatal intensive care unitAudiologyNoise levelAmbient noise levelAcousticsHearing lossPediatricsSound (geography)

Abstract

fetched live from OpenAlex

OBJECTIVE: Several recent studies have found exceedingly high noise levels in the neonatal intensive care unit (NICU) and in incubators. The purpose of this study was to perform a detailed noise assessment in a Canadian NICU. METHODS: A noise level meter was used to evaluate ambient noise levels in three rooms of the NICU and to compare those levels with measurements taken inside an occupied incubator. RESULTS: Mean hourly noise levels measured inside the incubator (61 dB) were significantly higher than those measured outside (55 dB). Ambient noise levels were also significantly higher in rooms where staff activity was greatest (59 dB). In addition, peak noise levels in excess of 120 dB were found. CONCLUSION: These findings are consistent with those of previous studies and suggest that noise levels in the NICU are excessive. Furthermore, staff activity is a significant contributor. The suggestion that noise in the NICU is detrimental to both auditory and central nervous system development is discussed and intervention strategies are recommended.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.014
GPT teacher head0.233
Teacher spread0.220 · 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 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

Citations97
Published2002
Admission routes3
Has abstractyes

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