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Record W2262726453 · doi:10.1093/mmcts/mmv042

Minimally invasive endoscopic repair of atrial septal defects via right minithoracotomy

2016· article· en· W2262726453 on OpenAlexaff
Jeevan Nagendran, Hamad F. Al Habib, Bob Kiaii, Michael Chu

Bibliographic record

VenueMultimedia Manual of Cardio-Thoracic Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicinePercutaneousSurgeryThoracotomyCatheter

Abstract

fetched live from OpenAlex

Atrial septal defect (ASD) repair has been conventionally performed via midline sternotomy with very low operative risk and excellent early and late outcomes. Recently, many of these patients with suitable anatomy are being treated with percutaneous catheter-based closure of their ASD, but issues of prosthetic device implantation, long-term antiplatelet therapy and late device complications persist. Minimally invasive repair of ASD via a 3-cm right minithoracotomy provides patients with a much less invasive surgical repair with all the durable benefits of autologous pericardial patch closure. However, widespread adoption of the minithoracotomy approach to ASD closure remains slow. This study describes the simple steps to ASD repair via a right minithoracotomy.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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