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Record W1972113358 · doi:10.3184/003685008x285375

Towards a Cure for Dementia: The Role of Axonal Transport in Alzheimer's Disease

2008· review· en· W1972113358 on OpenAlexaff
Richard J. Wilson

Bibliographic record

VenueScience Progress · 2008
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsArtificial Intelligence in Medicine (Canada)
FundersEngineering and Physical Sciences Research Council
KeywordsDiseaseDementiaNeuroscienceAlzheimer's diseaseMedicineAxoplasmic transportPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Alzheimer's disease is an incurable, fatal illness characterised by years of progressive mental decline. It afflicts half a million people in the UK--more than any other dementia. The primary risk factor is old age so this number is rising as we live longer. Current treatment is palliative while more potent drugs have encountered problems during clinical trials. It is known that the disease results from brain deterioration associated with the formation of microscopic lesions. Genetic mutations cause a small minority of cases but our knowledge of the underlying biological mechanisms is limited. The key to improved understanding may be a process vital to brain cells called axonal transport. Disruption of axonal transport seems to be an early event in the progression of the disease and is linked to lesion formation and brain dysfunction so a full investigation of this process should lead to a cure, if not prevention.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.005

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.

Opus teacher head0.062
GPT teacher head0.395
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations8
Published2008
Admission routes1
Has abstractyes

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