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Record W4376461803 · doi:10.5114/pcard.2022.127233

Prenatal diagnosis of anomalous drainage of the right superior vena cava to the left atrium

2022· article· ca· W4376461803 on OpenAlexaboutno aff
Stacy A. S. Killen

Bibliographic record

VenuePrenatal Cardiology · 2022
Typearticle
Languageca
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyRight atriumPrenatal diagnosisSuperior vena cavaInferior vena cavaInternal medicinePregnancyFetusBiology

Abstract

fetched live from OpenAlex

Anomalous drainage of the right superior vena cava to the left atrium, as an isolated abnormality, is a very rare form of congenital heart disease that causes postnatal hypoxemia.There is only one other case reported in the literature of this anomaly diagnosed prenatally.We describe a case of isolated right superior vena cava to the left atrium diagnosed prenatally by our fetal cardiology team after obstetrical referral for a dilated superior vena cava, and we discuss the differential diagnosis of in utero dilation of the superior vena cava.

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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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