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Record W2123501665 · doi:10.1186/s12916-015-0412-6

Why do patients get idiopathic pulmonary fibrosis? Current concepts in the pathogenesis of pulmonary fibrosis

2015· article· en· W2123501665 on OpenAlexafffund
Pierre‐Simon Bellaye, Martin Kolb

Bibliographic record

VenueBMC Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare HamiltonMcMaster University Medical Centre
FundersCanadian Pulmonary Fibrosis FoundationFondation du SoufflePulmonary Fibrosis Foundation
KeywordsMedicineIdiopathic pulmonary fibrosisPathogenesisDiseaseLungPulmonary fibrosisInterstitial lung diseasePopulationFibrosisImmunologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Idiopathic pulmonary fibrosis (IPF) is a devastating lung disease of unknown origin. Recent findings suggest that IPF results from multiple factors that eventually lead to interstitial lung injury. In the pathogenesis it is likely that complex relationships between genetic predispositions, environmental exposures, and lung infections promote the fibrotic processes causing IPF; it is this complexity and the multiplicity of causes that make the population and clinical course of IPF so heterogeneous. Thus, it is clear that one common factor driving IPF pathogenesis in all patients would be far too simplified of an understanding. In recent years, efforts have been made in finding therapeutic strategies that target disease progression rather than disease onset. The biochemical composition and abnormal stiffness of the matrix might be crucial in controlling the cellular phenotype in fibrotic lungs that promotes disease progression and persistence. Though there has been substantial progress in the IPF field in recent years, much more work is required in order to improve the prognosis associated with this disease.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations59
Published2015
Admission routes2
Has abstractyes

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