Diagnostic Criteria in Neurology. 2006. Edited by Alan J. Lerner. Published by Humana Press. 227 pages. Price C$ 150.
Bibliographic record
Abstract
DES SCIENCES NEUROLOGIQUES different physiopathological avenues including oxidative stress, apoptosis, protein aggregation and inflammation.Available therapies and avenues for the future are outlined in a subsequent chapter but this does not include the treatment for motor and nonmotor complications under investigation.Comprehensive reviews of multiple system atrophies, progressive supra-nulear palsy and corticobasal degeneration are provided in individual chapters.The component on the ataxias starts with a chapter on the clinical approach followed by chapters reviewing each autosomal dominant, Friedreich and other recessive ataxias, and ataxia telangiectasia.The part on motor neuron disease encompasses amyotrophic lateral sclerosis, the hereditary spastic paraplegias, Kennedy's disease, spinal muscular atrophies and the parkinsonism-ALS-dementia complex.One chapter covers the genetics of ALS and another addresses the treatment, exploring the compounds under investigation.The final section of the book covers Huntington's, dentatorubral-pallidoluysian atrophy, neuroacanthocytosis syndromes, iron disorders which includes neuroferritinopathy, aceruloplasminemia and Hallervorden-Spatz syndrome, Wilson's disease, mitochondrial disease and the relationship between mitochondria and classic diseases such as Alzheimer and Parkinson.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.059 |
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".