Audio-visual speech perception in mild cognitive impairment and healthy elderly controls.
Bibliographic record
Abstract
An audio-visual (AV) speech presentation mode can significantly improve spoken word identification. Language comprehension and communication in patients with Alzheimer disease (AD) can be compromised; however, little is known about the extent to which patients might benefit from an AV mode. Patients with mild cognitive impairment (MCI) are at risk for developing AD and can demonstrate parallel but milder difficulties in aspects of language function. Here we report on preliminary findings of a study that investigates the impact of AV speech and sentence context on word identification in patients with MCI and healthy elderly controls. Although both groups performed better in the AV condition compared to an auditory-alone condition and when a constraining sentence context was present, the patients performed worse than controls overall and in the condition that should afford the greatest benefit. This suggests that the cognitive deficits present in MCI may limit their ability to benefit fully from supportive perceptual and linguistic cues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
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 teacher head, 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".