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Record W4386250743 · doi:10.7759/cureus.44321

Left Pulmonary Artery Aneurysm Secondary to Metastatic Lung Sarcoma: A Case Report

2023· article· en· W4386250743 on OpenAlexaff
Muhammad Abdullah Javed, Kaleem S. Ahmed, Mohammad Bin Pervez, Saira Fatima, Saulat Hasnain Fatimi

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineAneurysmPseudoaneurysmLungRadiologyPulmonary arterySarcomaLeft lungCardiologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Aneurysms are characterized by focal dilation of the blood vessel wall due to weakening. The involvement of two layers of the vessel wall is classified as a pseudoaneurysm while the involvement of all three layers is called a true aneurysm. Involvement of neoplastic lesions is rare, but the few reported cases have been associated with pulmonary artery pseudoaneurysms as opposed to true pulmonary artery aneurysms (PAAs). Our case of a true left PAA of a patient with metastatic sarcoma of the lung shows an association that has previously not been reported to the best of our knowledge.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.002

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 head0.024
GPT teacher head0.302
Teacher spread0.277 · 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 designCase report
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

Citations0
Published2023
Admission routes1
Has abstractyes

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