Auditory steady-state response thresholds of adults with sensorineural hearing impairments: Umbrales de las respuestas auditivas de estado estable en adultos con hipoacusia sensorineural
Bibliographic record
Abstract
This study evaluated the use of multiple auditory steady-state responses (ASSRs) to estimate the degree and configuration of behavioral audiograms of subjects with sensorineural hearing impairments. Place specificity of the multiple-ASSR method was also assessed. Multiple amplitudemodulated (77–105 Hz) tones (500, 1000, 2000 and 4000 Hz) were simultaneously presented to one ear. The results showed that, on average, multiple-ASSR thresholds were 14±13, 8±9, 10±10 and 3±10 dB above behavioral thresholds for 500, 1000, 2000 and 4000 Hz, respectively. Behavioral and multiple-ASSR thresholds were significantly correlated (r =0.75–0.89). There were no significant differences between behavioral and multiple-ASSR measures of the audiogram configuration. In subjects with steep-sloping ≥30 dB/octave) hearing losses, multiple-ASSR thresholds did not underestimate behavioral thresholds, revealing good place specificity. These results indicate that the multiple-ASSR method provides good estimates of the degree and configuration of hearing in individuals with sensorineural hearing impairments.Este estudio evaluó el uso de las repuestas auditivas de estado estable (ASSR) para estimar el grado y la configuración de la audiometria conductual en sujetos con hipoacusia sensorineural. También se evaluó la especificidad tonal del método de ASSR múltiple. Se presentaron tonos múltiples de amplitud modulada (77–105 Hz) en 500, 1000, 2000 y 4000 Hz en forma simultánea para cada oído. Los resultados muestran que en promedio, los umbrales de ASSR-múltiple son 14±13, 8±9, 10±10 y 3±10 dB por encima del umbral conductual para las frecuencias 500, 1000, 2000 y 4000Hz respectivamente. No hubo una diferencia significativa (r = 0.75–0.89) entre los umbrales conductuales y los umbrales por ASSR-múltiple en la configuración del audiograma. En sujetos con curvas de perfil descendente abrupto (≥30 dB/octave), los umbrales obtenidos por ASSR-múltiple no subestimaron los umbrales conductuales y demostraron buena relación de especificidad frecuencial. Estos resultados indican que el método ASSR-múltiple proporciona un buen estimado del grado y la configuración de la audición de los individuos con hipoacusia sensorineural.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".