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Record W2074427905 · doi:10.1039/c2mt20019h

Using metalloproteomics to investigate the cellular physiology of copper in hepatocytes

2012· review· en· W2074427905 on OpenAlex
Eve A. Roberts

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

VenueMetallomics · 2012
Typereview
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersHospital for Sick ChildrenDalhousie UniversitySocial Sciences and Humanities Research Council of CanadaKing's College LondonCanadian Institutes of Health ResearchCanadian Liver FoundationCanadian Association for the Study of the Liver
KeywordsProteomicsComputational biologyHepatocyteMetalloproteinSystems biologyBiologyFunction (biology)Cell biologyBiochemistryChemistryGeneEnzyme

Abstract

fetched live from OpenAlex

Proteomics is a systems biology approach for examining proteins and their function in a given specified system. Metalloproteomics narrows the focus of proteomics to those proteins which bind a metal or are metalloproteins. An important system where metalloproteomics can be applied is the hepatocyte, the liver's parenchymal cell engaged in protein synthesis, nutrient deployment, and drug biotransformation. Hepatocellular metalloproteomics is an exciting new scientific discipline which has already advanced our understanding of certain genetic and neoplastic liver disorders. It has the potential to elucidate the action of numerous metals in hepatocytes and generate new diagnostic parameters, namely, novel biomarkers.

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)0.002
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 score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.228
GPT teacher head0.400
Teacher spread0.173 · 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