Screening to Assessment Pathways in Evaluating Functional Cognition in Older Adults
Bibliographic record
Abstract
Identification of functional cognitive deficits can facilitate intervention to improve outcomes among older adults. We aimed to determine if impairments on screening tests of cognition are associated with deficits in performance on a more extensive functional cognitive assessment. Using a cross-sectional study design we administered the Montreal Cognitive Assessment (MoCA), the Mini-Cog, the Menu Task, and Weekly Calendar Planning Activity (WCPA) to a convenience sample of 277 community-dwelling older adults (55-93 years old). We created impaired and unimpaired groups using an established cut-off score for each screening test and compared each group on WCPA scores. The WCPA scores that demonstrated significant differences across screening measures were: Accuracy, Efficiency, Strategies, Rules, and Appointments Entered. Effect sizes for the WCPA scores Accuracy and Efficiency were large. Each screening test demonstrated discriminant validity on select WCPA scores and appear to be appropriate for use as screening tests of functional cognition.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".