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Record W1981955916 · doi:10.1021/ja809451w

Cellular Lipid Metabolism Is Influenced by the Coordination Environment of Copper

2009· article· en· W1981955916 on OpenAlex
David C. Kennedy, Rodney K. Lyn, John Paul Pezacki

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 American Chemical Society · 2009
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsSteacie Institute for Molecular Sciences
FundersCanadian Institutes of Health Research
KeywordsChemistryCopperLipid metabolismLipid dropletLipid accumulationCopper toxicityPhenotypeRaman scatteringMetabolismBiophysicsRaman spectroscopyBiochemistryGene

Abstract

fetched live from OpenAlex

Copper ions are vital to human health, and mis-trafficking of them can result in many diseases including Wilson's, Menkes', and Alzheimer's diseases. Coherent anti-Stokes Raman scattering (CARS) microscopy can be used to observe changes in lipid phenotype in a noninvasive manner and is employed here to show that copper accumulation in hepatic cells results in rapid changes in lipid storage and lipid droplet density. The increase in lipid storage is dependent on the coordination environment of the copper to which the cells are exposed and changes in toxicity, lipid phenotype, and rate of copper accumulation upon treatment vary using different Cu species.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.263
Teacher spread0.255 · 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