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ECHO ROUNDS: Percutaneous Balloon Valvuloplasty for Pulmonic Stenosis: The Role of Multimodality Imaging

2007· article· en· W1939029934 on OpenAlexaff
Davinder S. Jassal, Amar Thakrar, Stephen Allan Schaffer, Tielan Fang, Iain D. C. Kirkpatrick, James W. Tam, Tarek Kashour

Bibliographic record

VenueEchocardiography · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of ManitobaRoyal University HospitalSt. Boniface Hospital
Fundersnot available
KeywordsMedicinePulmonic stenosisPercutaneousRadiologyMagnetic resonance imagingStenosisInternal medicineBalloonCardiology

Abstract

fetched live from OpenAlex

Pulmonic valvular stenosis represents the most frequent cause of right ventricular outflow obstruction. Transthoracic echocardiography is the imaging modality of choice in the diagnosis, evaluation and longitudinal follow-up of individuals with pulmonic stenosis (PS). Although valvular PS is usually diagnosed by two-dimensional imaging, Doppler echocardiography allows for the quantification of severity of the valvular lesion. In patients with limited acoustic windows, computed tomography and cardiac magnetic resonance imaging may provide complementary anatomical characterization of the pulmonic annulus and valve prior to percutaneous balloon valvuloplasty.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.006
GPT teacher head0.291
Teacher spread0.285 · 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.

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

Citations4
Published2007
Admission routes1
Has abstractyes

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