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Record W3006815203 · doi:10.1016/j.xjtc.2020.01.023

Use of 3-dimensionally printed heart models in the planning and simulation of surgery in patients with Raghib syndrome (coronary sinus defect with left superior vena cava)

2020· article· en· W3006815203 on OpenAlexaff
Nabil Hussein, Reda Kasdi, John G. Coles, Shi‐Joon Yoo

Bibliographic record

VenueJTCVS Techniques · 2020
Typearticle
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsCoronary sinusMedicinePersistent left superior vena cavaVena cavaSurgeryCardiology

Abstract

fetched live from OpenAlex

Raghib syndrome, also known as coronary sinus defect with persistent left superior vena cava (LSVC), consists of complete unroofing of the partial wall between the coronary sinus and the left atrium in the presence of persistent LSVC.1 It is characterized hemodynamically by drainage of the LSVC to the left atrium and a large interatrial shunt through the ostium of the unroofed coronary sinus. This article describes the use of 3-dimensional (3D) models in the presurgical planning and simulation of 2 patients with Raghib syndrome.

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)0.005
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.050
GPT teacher head0.270
Teacher spread0.220 · 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

Citations16
Published2020
Admission routes1
Has abstractyes

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