MétaCan
Menu
Back to cohort
Record W2164298557 · doi:10.1086/444545

Lung Remodeling in Pulmonary Tuberculosis

2005· review· en· W2164298557 on OpenAlexaff
Keertan Dheda, Helen Booth, Jim F. Huggett, Margaret A. Johnson, Alimuddin Zumla, G.A.W. Rook

Bibliographic record

VenueThe Journal of Infectious Diseases · 2005
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsInternational Centre for Infectious Diseases
Fundersnot available
KeywordsLungTuberculosisMedicinePulmonary tuberculosisPathologyInternal medicine

Abstract

fetched live from OpenAlex

Tuberculosis is a global public health catastrophe responsible for >8 million cases of illness and 2 million deaths annually. Pulmonary cavitation with cough-generated aerosol is the principle means of spread, and lung remodeling (healed cavitation, fibrosis, and bronchiectasis) is a major cause of lung disability, surpassing all other diffuse parenchymal lung diseases combined. Efficient granuloma turnover is mycobactericidal, and extracellular matrix is disbanded without scarring. In many with progressive disease, however, there is dysregulated granuloma turnover, liquefactive necrosis, and pathological scarring. The pathological mechanisms and the related immunological pathways underpinning these phenomena are reviewed in the present article. Further studies are needed to identify and develop specific immunotherapeutic interventions that target immunopathology, since they have the potential to substantially reduce spread.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.041
GPT teacher head0.385
Teacher spread0.344 · 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

Citations273
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Infectious DiseasesSame topicTuberculosis Research and EpidemiologyFrench-language works237,207