Prescribed real-ear and achieved real-life differences in children's hearing aids adjusted according to the NAL-NL1 and the DSL v.4.1 prescriptions
Bibliographic record
Abstract
This paper examined how hearing aids adjusted for comparing NAL-NL1 with DSLv.4.1 prescription formulas matched prescriptive targets. The real-ear-to-coupler differences (RECD) of 48 children (24 in Australia and 24 in Canada) were measured and used to derive coupler gain targets. Verification of gain and output were carried out in an HA2-2cc coupler. Electroacoustic measurements revealed a minimal difference between NAL-NL1 and DSLv.4.1 frequency-response slopes due to practical limitations of the devices, even though the prescribed differences were large (up to 13 dB/octave). The difference in overall gain was generally achieved in the hearing aids, with DSLv.4.1 prescribing higher overall gain than NAL-NL1. The mean RECD at 4 kHz was 5 dB higher for children in Australia than in Canada. As the same RECDs were used in deriving targets for both prescriptions, this is unlikely to affect the results of the comparison. The impact of a gain difference between prescriptions on children's performance and preferences in real life is reported in separate papers.SumarioEste trabajo examinó cómo los auxiliares auditivos ajustados para comparar las recetas NAL-NL1 y DSLv.4.1 se ajustaron a las metas de prescripción. Se midieron las diferencias de oído-real a acoplador (RECD) de 48 niños (24 de Australia y 24 de Canadá), y se utilizaron para derivar las metas de ganancia por acoplador. La verificación de la ganancia y la salida se realizó en un acoplador HA2-2cc. Las mediciones electroacústicas revelaron una diferencia mínima entre las curvas de respuesta frecuencial de la NAL-NL1 y la SDLv.4.1, debido a limitaciones prácticas de los dispositivos, aunque las diferencias de prescripción eran grandes (hasta de 13 dB/octava). La diferencia en ganancia global fue generalmente lograda en los auxiliares auditivos, con el DSLv-4.1 indicando una ganancia global más alta que la del NAL-NL1. La RECD a 4 kHz fue 5 dB más alta para los niños de Australia que para los de Canadá. Dado que se usaron los mismas RECD para derivar las metas en ambas recetas, es improbable que éstas afecten los resultados de la comparación. El impacto de la diferencia de ganancia entre las recetas, para el desempeño de los niños y sus preferencias en la vida real se reporta en trabajos separados.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".