BILATERAL AND BIMODAL BENEFITS AS A FUNCTION OF AGE FOR ADULTS FITTED WITH A COCHLEAR IMPLANT.
Bibliographic record
Abstract
BACKGROUND: Both bilateral cochlear implants (CIs) and bimodal (electric plus contralateral acoustic) stimulation can provide better speech intelligibility than a single CI. In both cases patients need to combine information from two ears into a single percept. In this paper we ask whether the physiological and psychological processes associated with aging alter the ability of bilateral and bimodal CI patients to combine information across two ears in the service of speech understanding. MATERIALS: The subjects were 61 adult, bilateral CI patients and 94 adult, bimodal patients. The test battery was composed of monosyllabic words presented in quiet and the AzBio sentences presented in quiet, at +10 and at +5 dB signal-to-noise ratio (SNR). METHODS: The subjects were tested in standard audiometric sound booths. Speech and noise were always presented from a single speaker directly in front of the listener. RESULTS: Age and bilateral or bimodal benefit were not significantly correlated for any test measure. CONCLUSIONS: Other factors being equal, both bilateral CIs and bimodal CIs can be recommended for elderly patients.
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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 | 0.000 | 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) | 0.003 | 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".