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Record W2158304544 · doi:10.1136/heartjnl-2014-306453

The Ross operation in infants and children, when and how?

2014· letter· en· W2158304544 on OpenAlexaff
Magdi H. Yacoub, Ismaı̈l El-Hamamsy

Bibliographic record

VenueHeart · 2014
Typeletter
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMontreal Heart InstituteUniversité de Montréal
Fundersnot available
KeywordsMedicineDilemmaOutcome (game theory)Term (time)Decision treeNode (physics)Intensive care medicineMathematical economicsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The Ross operation is the only operation which guarantees long-term survival of the aortic valve substitute, and allows it to reproduce some of the extremely sophisticated functions of the normal living aortic valve.1 This has been shown to translate into longer survival and better quality of life in adults.2 The operation was described almost 50 years ago,3 primarily for use in growing children, to avoid anticoagulation and repeated operations. In spite of that, the exact role, timing and techniques of applying this operation for this particular group of patients are still hotly debated.4 It could be argued that application of formal decision theory could almost immediately resolve this dilemma, by constructing a decision tree based on defining outcome of alternative decisions at each node. This however, depends on the availability of accurate statistics from large databases, which simply are not available. Until recently the …

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)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.009
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0030.003

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 head0.011
GPT teacher head0.298
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations5
Published2014
Admission routes1
Has abstractyes

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