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Record W2132598107 · doi:10.4103/0971-3026.125570

Significance of various pulmonary and extrapulmonary abnormalities on HRCT of the chest in scleroderma lung

2013· article· en· W2132598107 on OpenAlexaff
Anoop Kumar Pandey, Pearce Wilcox, J. O Brien, Jennifer D. Ellis, Jacquie Brown, Jonathon Leipsic

Bibliographic record

VenueIndian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · 2013
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineClinical significanceRadiologyLungScleroderma (fungus)Pulmonary fibrosisHigh-resolution computed tomographyInterstitial lung diseaseSystemic sclerodermaEsophageal dilatationCardiologyComputed tomographyPathologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Patients with systemic sclerosis (SSc) are routinely investigated with high-resolution computed tomography (HRCT) chest for early detection and accurate characterization of complicating interstitial lung diseases. Though the primary aim of HRCT is to delineate the burden of pulmonary involvement and to characterize the nature of fibrosis to potentially help guide management, it provides an opportunity to evaluate extrapulmonary manifestations, particularly the dilated pulmonary artery, esophageal dilatation, and pericardial abnormalities which have their own clinical significance. The aim of this article is to discuss the significance of various pulmonary and extrapulmonary abnormalities that may be identified on HRCT chest of SSc patients.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.222
Teacher spread0.214 · 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 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

Citations10
Published2013
Admission routes1
Has abstractyes

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Same venueIndian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & ImagingSame topicSystemic Sclerosis and Related DiseasesFrench-language works237,207