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Record W2811098386 · doi:10.1183/16000617.0033-2018

Matrix abnormalities in pulmonary fibrosis

2018· review· en· W2811098386 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.

Bibliographic record

VenueEuropean Respiratory Review · 2018
Typereview
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMyofibroblastExtracellular matrixIdiopathic pulmonary fibrosisTransforming growth factorPulmonary fibrosisMedicineFibrosisCell biologyFibroblastPhenotypeMatrix (chemical analysis)PathologyMatrix metalloproteinaseCancer researchLungImmunologyBiologyChemistryInternal medicineCell culture

Abstract

fetched live from OpenAlex

Idiopathic pulmonary fibrosis (IPF) is a devastating, progressive disease, marked by excessive scarring, which leads to increased tissue stiffness, loss in lung function and ultimately death. IPF is characterised by progressive fibroblast and myofibroblast proliferation, and extensive deposition of extracellular matrix (ECM). Myofibroblasts play a key role in ECM deposition. Transforming growth factor (TGF)-β1 is a major growth factor involved in myofibroblast differentiation, and the creation of a profibrotic microenvironment. There is a strong link between increased ECM stiffness and profibrotic changes in cell phenotype and differentiation. The activation of TGF-β1 in response to mechanical stress from a stiff ECM explains some of the influence of the tissue microenvironment on cell phenotype and function. Understanding the close relationship between cells and their surrounding microenvironment will ultimately facilitate better management strategies for IPF.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
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)0.0010.005

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 head0.066
GPT teacher head0.369
Teacher spread0.303 · 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