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Record W2736682902 · doi:10.1177/1093526616686008

Persistent Left Superior Vena Cava

2017· article· en· W2736682902 on OpenAlexaff
Vrinda Nair, Kamran Yusuf, Weiming Yu, Hafez AlAwad, Kathy Paul, Essa Al Awad

Bibliographic record

VenuePediatric and Developmental Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsPersistent left superior vena cavaAtresiaMedicineFetusFetal echocardiographyTricuspid atresiaCardiologyInternal medicineAnatomyPregnancyPrenatal diagnosisHeart diseaseBiologyCoronary sinus

Abstract

fetched live from OpenAlex

Persistent left superior vena cava (PLSVC) is a common cardiac anomaly associated with congenital heart diseases. A diagnosis of PLSVC usually warrants a detailed fetal echocardiography. Lesser known associations are the extra cardiac anomalies notably the upper airway and the gastrointestinal tract anomalies. We highlight here the importance of detailed fetal assessment for extra cardiac anomalies in addition to fetal echocardiography in fetuses diagnosed with PLSVC. We hereby present a preterm infant who presented with a triad of PLSVC, laryngeal atresia, and esophageal atresia.

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)0.003
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 score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.021
GPT teacher head0.265
Teacher spread0.244 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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