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Stress-responsive signal transduction mechanisms in glomerular cells

2000· review· en· W2325923824 on OpenAlexaff
Alistair J. Ingram, James W. Scholey

Bibliographic record

VenueCurrent Opinion in Nephrology & Hypertension · 2000
Typereview
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsCanada Research ChairsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsCell biologyExtracellular matrixPulsatile flowSignal transductionCytoplasmIn vivoCell growthCellBiologyChemistryEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

Mechanical stresses appear to play a key role in the progression of glomerular diseases that are characterized by increased transcapillary hydraulic pressure. Glomerular mesangial cells proliferate and produce extracellular matrix proteins in vivo in such diseases. Mesangial cell responses to pulsatile mechanical stimuli have been studied extensively in vitro during the past few years. Mechanical signals are sensed at the cell membrane and propagated through the cytoplasm, and result in the activation of transcription factors that elicit production of prosclerotic cytokines and matrix proteins, and cell proliferation. Endothelial cells are exposed to shear and pulsatile stress and show some similar responses in other vascular beds.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.087
GPT teacher head0.370
Teacher spread0.284 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2000
Admission routes1
Has abstractyes

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