Transient Evoked Otoacoustic Emissions in Newborn Infants: Effects of Ear Asymmetry, Gender, and Age
Bibliographic record
Abstract
Our aim was to examine the effects of gender, ear asymmetry, and age of infants on various parameters of transient evoked otoacoustic emissions (TEOAEs). Three hundred thirty-two infants (181 males, 151 females) were tested using the ILO292 Otodynamics Analyzer (Otodynamics Ltd, England) as a screening procedure. The subjects were divided into two age groups: group 1, newborn infants prior to hospital discharge (mean age of 4 days), and group 2, infants at the 1-month-old health checkup (mean age of 35 days). Responses to TEOAE stimuli were recorded at 1.0, 1.5, 2.0, 3.0, and 4.0 kHz. There were significant effects of gender and ear (left/right) on the signal-to-noise ratio, response level, and whole-wave and band reproducibility values in TEOAEs. The right ear had higher values of whole-wave reproducibility, response level, signal-to-noise ratio, and band reproducibility than the left ear. Females displayed higher whole-wave reproducibility, response level, band reproducibility, and signal-to-noise ratio values than males. There was no significant difference in response level, signal-to-noise ratio, and band reproducibility between the two age groups. The findings of the present investigation may contribute toward future improvements in neonatal hearing screening based on the community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".