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Record W2022178426 · doi:10.2174/156720510793611646

Hypothermia and Alzheimers Disease Neuropathogenic Pathways

2010· review· en· W2022178426 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

VenueCurrent Alzheimer Research · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsWilfrid Laurier UniversityCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsSenile plaquesDementiaAlzheimer's diseaseDiseaseHypothermiaExacerbationTau proteinAmyloid betaMedicineNeuroscienceBiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Alzheimer's disease (AD) remains a major health problem, and accounts for 50 to 60% of all cases of dementia. The two histopathological hallmarks of AD are senile plaques, composed of the β-amyloid peptide (Aβ), and intraneuronal neurofibrillary tangles composed of abnormally hyperphosphorylated tau protein. Only a small proportion of AD is due to mutations in the genome of patients, the large majority of cases being of late onset and sporadic in origin. The relative contribution of genetics and environment to the sporadic cases is unclear, but they are accepted to be of multifactorial origin. This means that genetic and environmental factors can interact together to induce or accelerate the disease. Among environmental factors, studies suggest that hypothermia may contribute to the development and exacerbation AD. Here, we review the preclinical data involving hypothermia with tau and Aβ, as well as clinical evidence implicating hypothermia in the development of AD.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.308
GPT teacher head0.456
Teacher spread0.148 · 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