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Record W4401487865 · doi:10.1016/j.jscai.2024.102250

Hemodynamic Assessment and Transcatheter Intervention Treating Pulmonary Vein Stenosis

2024· article· en· W4401487865 on OpenAlexaff
Ashish H. Shah, Triston Eastman, Petra Jenkins

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2024
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicinePulmonary veinOstiumPulmonary wedge pressureCardiologyStenosisInternal medicineAngioplastyPulmonary vein stenosisAtrial fibrillationLeft pulmonary arteryPulmonary arteryRadiology

Abstract

fetched live from OpenAlex

A 66-year-old woman started experiencing progressive dyspnea on physical activity 18 months after undergoing radiofrequency pulmonary vein (PV) isolation for paroxysmal atrial fibrillation. CT pulmonary angiography during the levo phase demonstrated significant stenosis of the left upper lobe vein, whereas the left lower lobe vein could not be visualized. Cardiac catheterization demonstrated a mean right atrial pressure of 12 mm Hg, pulmonary artery pressure of 33/18 with a mean of 24 mm Hg, mean pulmonary capillary wedge pressure in the right lung of 16 mm Hg, and 25 mm Hg in the left lung.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.339
Teacher spread0.301 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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