Diagnosis, Classification and Natural History of Degenerative Dementias
Bibliographic record
Abstract
The release of the first approved medications for the treatment of Alzheimer's disease in Canada has highlighted the renewed need and importance of diagnostic accuracy and understanding of the spectrum of the dementias. The epidemiological scope of the problem of dementia in Canada including risk factors, caregiving patterns and costs of care have been well-characterized through the Canadian Study of Health and Aging (CSHA 1991-1996) with some of the key findings reviewed here. Beyond Alzheimer's disease the phenotypes and genotypes of the other degenerative dementias have been emerging with proposed operational diagnostic criteria that should facilitate their recognition in clinical practice. This paper reviews the clinical phenotypes of the most common causes of dementia with a proposed classification scheme and with discussion of their relevance from a differential treatment standpoint. This paper served as a background document for the working group of the Consensus Conference on Dementia (C3D) in February 1998 and has been revised subsequently for this publication.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".