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Record W2313619813 · doi:10.1177/2150135112454146

Normal Drainage, Abnormal Connection

2012· article· en· W2313619813 on OpenAlexaff
Masoud Shariat, Lars Grosse‐Wortmann, Shi‐Joon Yoo, Mike Seed, Osami Honjo

Bibliographic record

VenueWorld Journal for Pediatric and Congenital Heart Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineShunt (medical)Superior vena cavaCardiac magnetic resonanceRight atriumCardiologyCardiac surgeryMagnetic resonance imagingLeft atriumInternal medicineScimitar syndromeRight-to-left shuntTotal anomalous pulmonary venous connectionRadiologyCardiac magnetic resonance imagingInferior vena cavaSurgeryPatent foramen ovaleAtrial fibrillation

Abstract

fetched live from OpenAlex

A seven-month-old girl with partial anomalous pulmonary venous connection and atrial septal defect underwent cardiac magnetic resonance for further evaluation. Anatomical images and flow quantification confirmed the diagnosis and demonstrated a commitment of the superior vena cava to the left atrium, resulting in a right-to-left shunt and pulmonary/systemic blood flow ratio of 0.85. The findings were confirmed during surgery.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.283
Teacher spread0.258 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

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