Differentiating the Dementias. Revisiting Synucleinopathies and Tauopathies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dementia is a common, chronic and progressive illness. Many different types of dementia exist. It is important to have knowledge of the various dementia presentations so that the clinician can differentiate one type from another. Past and current approaches of classifying dementias are reviewed in this paper. The past cortical/subcortical scheme is reviewed as well as the current synucleinopathy/tauopathy scheme. This paper focuses on the most common synucleinopathies and tauopathies including Alzheimer's Dementia, Dementia with Lewy Bodies, Parkinson's Disease, Frontotemporal Dementia, Progressive Supranuclear Palsy, Multiple System Atrophy and Corticobasal Ganglionic Degeneration. We systematically approach each dementia and review cognitive, psychiatry and neurological features of each. We also compare and contrast each dementia and the synucleinopathies and taupoathies alike. Our goal is to provide the clinician with sufficient knowledge to competently and confidently diagnose a patient who presents with progressive cognitive decline and deterioration in functioning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it