An intergenerational analysis of cognitive impairment in healthy elders
Bibliographic record
Abstract
Cognitive disorders are common in elderly population and are becoming an increasingly important public health problem, partly because of the rapid aging of the population. This study was conducted to find out the differences between cognitive ability between normal adults and healthy elders of north region. The mild cognitive impairment (MCI) resulting in limitations and delayed treatment of dementia, should be considered an entry point for researching recent changes in the lives of healthy elderly. In this study we have applied MoCA test on the 36 normal healthy elders belonging to high socioeconomic status and normal young adults. Results have shown that there was no significant difference amongst the young normal adults; all the participants had normal MoCA scores. The MoCA scores were significantly impaired in all the healthy elders and there was a significant difference between the normal young adults and healthy elders. Age has a significant influence on MOCA score in older adults. Hence there is a need for age specific stratification in cut-off scores.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".