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Record W1850344898 · doi:10.1177/039139880502800208

Cytokines and Growth Factors Involved in Peritoneal Fibrosis of Peritoneal Dialysis Patients

2005· review· en· W1850344898 on OpenAlexaff
Kook‐Hwan Oh, Peter J. Margetts

Bibliographic record

VenueThe International Journal of Artificial Organs · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsSt. Joseph’s Healthcare HamiltonSt. Joseph's HospitalMcMaster University
Fundersnot available
KeywordsPeritoneal dialysisMedicineFibrosisPeritoneumInternal medicinePathology

Abstract

fetched live from OpenAlex

Peritoneal fibrosis is initiated by exposure of peritoneal tissues to numerous harmful agents encountered during peritoneal dialysis. These agents interact with cells within the peritoneum to induce growth factors and cytokines that are important in the initiation, progression and maintenance of fibrosis. Some of the mediators implicated in the pathogenesis of peritoneal fibrosis include transforming growth factor (TGF) beta, connective tissue growth factor (CTGF), fibroblast growth factors (FGF), and platelet derived growth factor (PDGF).

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)0.001
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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.038
GPT teacher head0.333
Teacher spread0.295 · 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

Citations24
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueThe International Journal of Artificial OrgansSame topicConnective Tissue Growth Factor ResearchFrench-language works237,207