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Record W1985778670 · doi:10.2174/156800705774322067

Abeta Immunotherapy and Other Means to Remove Amyloid

2005· review· en· W1985778670 on OpenAlex
Edith G. McGeer, Patrick L. McGeer

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 Drug Targets - CNS & Neurological Disorders · 2005
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPresenilinGenetically modified mouseAlzheimer's diseaseAmyloid precursor proteinTransgeneAmyloid (mycology)ImmunotherapyAmyloid betaDiseaseMedicineChemistryImmunologyImmune systemBiochemistryPathology

Abstract

fetched live from OpenAlex

The amyloid cascade hypothesis postulates that accumulation of beta-amyloid (Abeta) plays a key role in the development of Alzheimer's disease (AD). Accordingly, much effort has gone into reducing the amyloid burden, especially in transgenic mice expressing mutations in human amyloid precursor protein. Such mice develop amyloid plaques but not neurofibrillary tangles. Immunization with Abeta and other inflammatory stimuli, inhibitors of Abeta formation, cholesterol lowering agents, beta-sheet breaker peptides, antioxidants and various miscellaneous agents have been found to reduce the more soluble Abeta in such transgenic mice. Whether they would affect the more consolidated, cross-linked Abeta of AD and, if they did, whether that would really prove an effective treatment for the disease remains for future research to determine.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.057
GPT teacher head0.375
Teacher spread0.318 · 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