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Record W3049068815 · doi:10.1139/cjc-2020-0279

Multifunctional compounds for the treatment of Alzheimer’s disease

2020· article· en· W3049068815 on OpenAlexaffvenue
Tim Storr

Bibliographic record

VenueCanadian Journal of Chemistry · 2020
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChemistryOxidative stressDiseaseDementiaAmyloid (mycology)NeuroscienceAlzheimer's diseaseClioquinolIntracellularAmyloid betaPeptidePsychologyPharmacologyBiochemistryInternal medicineMedicine

Abstract

fetched live from OpenAlex

Alzheimer’s disease (AD) is the most common form of dementia, and the prevalence of this currently untreatable disease is expected to rise in step with increased global life expectancy. AD is a multifaceted disorder commonly characterized by extracellular amyloid–beta (Aβ) aggregates, oxidative stress, metal ion dysregulation, and intracellular neurofibrillary tangles. This review will focus on medicinal inorganic chemistry strategies to target AD, with a focus on the Aβ peptide and its relation to metal ion dysregulation and oxidative stress. Multifunctional compounds designed to target multiple disease processes have emerged as promising therapeutic options, and recent reports detailing multifunctional metal-binding compounds, as well as discrete metal complexes, will be discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.303
Teacher spread0.244 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations23
Published2020
Admission routes2
Has abstractyes

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