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Record W3135254712 · doi:10.14740/jmc3676

Case From the Eyes of an Anatomist: Fistula Between Proximal of Left Anterior Descending Artery to Pulmonary Artery

2021· article· en· W3135254712 on OpenAlexvenueno aff
Musa Muhtaroglu, Sevda Lafcı Fahrioğlu, Sezgin İlgi

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicCoronary Artery Anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFistulaPulmonary arteryArteryCardiologyInternal medicineMain Pulmonary ArteryLeft pulmonary arteryRadiologySurgery

Abstract

fetched live from OpenAlex

Advanced diagnostic systems and screening services for health care have made it possible to improve the detection of congenital cardio-vascular abnormalities, including coronary artery variations. Many coronary artery fistulas are congenital, and this can also be reported in patients with normal heart anatomy. In this report, we present a patient with a fistula between left anterior descending artery and pulmonary artery which was diagnosed incidentally with conventional angiography.

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)0.005
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0070.005
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 head0.038
GPT teacher head0.316
Teacher spread0.278 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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