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Record W3124973138 · doi:10.1016/j.xjtc.2021.01.016

Commentary: Aortic annuloplasty: One size does not fit all

2021· editorial· en· W3124973138 on OpenAlexaff
Maral Ouzounian, Michael Chu, Mark D. Peterson, Ismaı̈l El-Hamamsy

Bibliographic record

VenueJTCVS Techniques · 2021
Typeeditorial
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineAortic valve repairAortic valveAortic rootCardiologyInternal medicineSurgeryAorta

Abstract

fetched live from OpenAlex

Every component of the aortic root must be evaluated and restored to structural and functional competence for a durable repair. Failure to address the functional aortic annulus during aortic valve repair or root reconstruction has led to early failures, and several techniques have been developed to correct and prevent annular dilatation. Available data are marred by small numbers, alterations in technique over time, retrospective and incomplete data, and a lack of a comparator group. Failure to address other components of root morphology, particularly residual cusp prolapse or inadequate coaptation height, also lead to early failure, making it difficult to isolate the effect of annuloplasty on repair durability.

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)0.004
metaresearch head score (Gemma)0.026
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: Editorial · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.006
Open science0.0050.002
Research integrity0.0370.037
Insufficient payload (model declined to judge)0.0180.015

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 head0.023
GPT teacher head0.309
Teacher spread0.286 · 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
GenreEditorial

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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