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Record W2001839740 · doi:10.1039/b002753g

Design of vanadium compounds as insulin enhancing agents

2000· article· en· W2001839740 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of the Chemical Society Dalton Transactions · 2000
Typearticle
Languageen
FieldChemistry
TopicVanadium and Halogenation Chemistry
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaMedical Research Council Canada
KeywordsVanadiumInsulinChemistryIn vivoBiochemistryCombinatorial chemistryInternal medicineMedicineBiologyInorganic chemistryBiotechnology

Abstract

fetched live from OpenAlex

Vanadium compounds, in vitro, stimulate glucose uptake and inhibit lipid breakdown, in a manner remarkably reminiscent of insulin’s effects. In vivo, vanadium enhances insulin’s plasma glucose and lipid-lowering properties, leading to normalization of diabetic symptoms in the presence of only minimal endogenous insulin. The coordination chemistry of vanadium has great versatility for adjustment of pharmacological characteristics. Vanadium compounds are generally also very redox active, which is both advantageous and detrimental for optimizing biochemical function. In this perspective, we review and comment on how these properties have been revealed, what questions have arisen along the way, and where future investigations may be headed. While this is not a comprehensive overview of all available compounds touted as ‘insulin enhancing agents’, it will focus on those which are distinctive in some way, or which are representative of the larger library of vanadium compounds, including all currently known relevant oxidation states of vanadium.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0060.000

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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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