Évolution des performances cognitives des sujets implantés cochléaires évaluée par les tests MoCA et Codex
Bibliographic record
Abstract
Several studies have shown that hearing impairment had an impact on cognitive functioning. In this study, 24 adults with severe post lingual hearing loss completed Codex (Cognitive disorders examination, Belmin, 2004) and MoCA (Montreal cognitive assessment, Nasreddine, 2005) tests, both prior to and after cochlear implantation. Results show a significant improvement in cognitive abilities in the group that had pathological scores at the MoCA test prior to cochlear implantation. No correlations were found between cognitive scores and subject’s age, or duration of deafness. We argue that the MoCA test could be an interesting tool in observing the evolution of cognitive abilities in subjects with abnormal scores prior to implantation as well as assessing cognitive frailties in hearing impaired elderly subjects. This multidimensional approach could lead to a interdisciplinary intervention in the sensory-cognitive deprived subjects.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".