C-39A Progressive Study of Age and Education Norms for the Montreal Cognitive Assessment
Bibliographic record
Abstract
Objective: The purpose of this project was a continuation in development of norms for the Montreal Cognitive Assessment (MOCA). A pilot project was begun in 2014 to determine the norms for the MOCA and the variability with age and education. The study was based on the model used by Crum and associates in developing population based norms for the Mini Mental State Exam (MMSE). Method: De-identified MOCA data (n = 1278) gathered from a community clinic, academic setting and general population were used. The mean age was 30.63 (15.63) years, with a range of 18 to 90 years of age. Average education level was 13.53 (2.36) years, with a range of 3 to 30 years. The group was comprised of 574 males and 704 females. MOCA scores ranged from 8 to 30. Research interns supervised by a licensed psychologist gathered data from previously administered MOCA assessments. An age to education matrix was created with mean scores and standard deviations. Results:
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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 | 0.016 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".