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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 OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

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