Multiple auditory steady-state response thresholds to bone-conduction stimuli using three oscillator placements in premature infants
Bibliographic record
Abstract
Auditory Steady State Responses (ASSRs) are a promising technique for estimating the behavioral audiogram in infants. The current study investigates the effects of bone-oscillator placement on ASSR thresholds in premature infants (N=15, mean age: 35 weeks PCA). Using the MASTER research system, ASSR thresholds to multiple bone-conduction tones (0–50 dBHL re:mastoid; 77–101 Hz) presented to the (i) superior-posterior temporal bone, (ii) mastoid, and (iii) forehead were obtained. Results with no response at 50 dBHL were arbitrarily assigned a threshold of 60 dBHL. No differences in threshold were found between the temporal and mastoid placements. Thresholds averaged across these placements were 17, 15, 34, and 30 dBHL for 500, 1000, 2000, and 4000 Hz, respectively. However, on average, thresholds for the forehead placement were significantly higher by at least 14, 11, 18, and 14 dB at 500, 1000, 2000, and 4000 Hz, respectively, compared to the temporal and mastoid placements. These differences may be even greater because absent responses at the maximum intensity were seen more often with forehead placement compared to other placements. In conclusion, one may use either the temporal bone or mastoid for bone-oscillator placement, but the forehead should be avoided. [Work supported by CIHR and NSERC-Canada.]
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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 | 0.004 |
| 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".