Bibliographic record
Abstract
A significant expansion of knowledge in the last few years, especially in the molecular biology of frontotemporal dementia (FTD) is summarized. This condition, formerly known as Pick's disease and considered rare, is estimated to be 12-15% of all dementias and 30-50% early onset ones. The clinical picture is protean, mainly a behavioural and language impairment, but the extrapyramidal syndromes of CBD and PSP are often seen and conversely FTD and progressive aphasia often has motor symptoms, including ALS. These seemingly different presentations converge, as one or other areas in the brain are affected. Our experience with FTD in a clinical cohort, with high rate of autopsy confirmation is presented. Less than half of the cases are tauopathies, the majority has been discovered to have a TDP-43 and most recently a FUS proteinopathy, shared with ALS, opening potential opportunities for pharmacological approaches to treatment. Tau and progranulin mutations on Ch-17 and some others, point to molecular mechanisms. A glossary is provided to navigate the complex terminology.
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".